short introduction on Association Rule with definition & Example, are explained. Association rules are if/then statements used to find relationship between unrelated data in information repository or relational database. Parts of Association rule is explained with 2 measurements support and confidence. types of association rule such as single dimensional Association Rule,Multi dimensional Association rules and Hybrid Association rules are explained with Examples. Names of Association rule algorithm and fields where association rule is used is also mentioned.
Views: 88691 IT Miner - Tutorials,GK & Facts
In my previous video I talked about the theory of Market basket analysis or association rules and in this video I have explained the code that you need to write to achieve the market basket analysis functionality in R. This will help you to develop your own market basket analysis or association rules application to mine the important rules which are present in the data.
Views: 15561 Data Science Tutorials
Link - https://intellipaat.com/business-analytics-with-r/ Business Analytics - R Online Training provided by Intellipaat is one of the best Business Analytics - R Training you can receive across the globe. You will learn complete Business Analytics - R and get 360 degree overview about the technology. We provide 24/7 support & Life time access to the course. Key Features of Intellipaat Business Analytics - R Training: 1. In-depth high quality interactive e-learning sessions 2. Multiple assignment, project work and lab exercises for practice 3. Lifetime 24/7 access to video tutorials with on-demand training support 4. Job assistance - US, UK, and Indian Clients and partners. 5. Sample resumes preparation along with mock up interview session 6. Intellipaat Course Completion Certificate at the end of the course 7. Professional faculty with more than 18 years of experience in the industry 8. Community of more than +120000 users across the globe. Intellipaat had trained participants across globe on Business Analytics - R Training from different regions like Europe,US,Spain,Germany, Singapore, Malaysia , Australia, UK, Saudi Arabia,Egypt, Bay Area, Chicago and MA. Intellipaat provide online Business Analytics - R Training to make professional to get started with career enhancement. Visit us - https://intellipaat.com/business-analytics-with-r/ or https://intellipaat.com
Views: 5023 Intellipaat
This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. For more information: www.dataminingbook.com twitter.com/gshmueli facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Nets: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 3127 Galit Shmueli
spatial approximate string search ieee data mining 2013 project Read more http://ieee-projects10.com/spatial-approximate-string-search/
Views: 792 satya narayana
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Views: 51 PHD Projects
Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 1: The data mining process http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 16309 WekaMOOC
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka video on "Data Science" provides an end to end, detailed and comprehensive knowledge on Data Science. This Data Science video will start with basics of Statistics and Probability and then move to Machine Learning and Finally end the journey with Deep Learning and AI. For Data-sets and Codes discussed in this video, drop a comment. This video will be covering the following topics: 1:23 Evolution of Data 2:14 What is Data Science? 3:02 Data Science Careers 3:36 Who is a Data Analyst 4:20 Who is a Data Scientist 5:14 Who is a Machine Learning Engineer 5:44 Salary Trends 6:37 Road Map 9:06 Data Analyst Skills 10:41 Data Scientist Skills 11:47 ML Engineer Skills 12:53 Data Science Peripherals 13:17 What is Data ? 15:23 Variables & Research 17:28 Population & Sampling 20:18 Measures of Center 20:29 Measures of Spread 21:28 Skewness 21:52 Confusion Matrix 22:56 Probability 25:12 What is Machine Learning? 25:45 Features of Machine Learning 26:22 How Machine Learning works? 27:11 Applications of Machine Learning 34:57 Machine Learning Market Trends 36:05 Machine Learning Life Cycle 39:01 Important Python Libraries 40:56 Types of Machine Learning 41:07 Supervised Learning 42:27 Unsupervised Learning 43:27 Reinforcement Learning 46:27 Supervised Learning Algorithms 48:01 Linear Regression 58:12 What is Logistic Regression? 1:01:22 What is Decision Tree? 1:11:10 What is Random Forest? 1:18:48 What is Naïve Bayes? 1:30:51 Unsupervised Learning Algorithms 1:31:55 What is Clustering? 1:34:02 Types of Clustering 1:35:00 What is K-Means Clustering? 1:47:31 Market Basket Analysis 1:48:35 Association Rule Mining 1:51:22 Apriori Algorithm 2:00:46 Reinforcement Learning Algorithms 2:03:22 Reward Maximization 2:06:35 Markov Decision Process 2:08:50 Q-Learning 2:18:19 Relationship Between AI and ML and DL 2:20:10 Limitations of Machine Learning 2:21:19 What is Deep Learning ? 2:22:04 Applications of Deep Learning 2:23:35 How Neuron Works? 2:24:17 Perceptron 2:25:12 Waits and Bias 2:25:36 Activation Functions 2:29:56 Perceptron Example 2:31:48 What is TensorFlow? 2:37:05 Perceptron Problems 2:38:15 Deep Neural Network 2:39:35 Training Network Weights 2:41:04 MNIST Data set 2:41:19 Creating a Neural Network 2:50:30 Data Science Course Masters Program Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS Machine Learning Podcast: https://castbox.fm/channel/id1832236 Instagram: https://www.instagram.com/edureka_learning Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #edureka #DataScienceEdureka #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience - - - - - - - - - - - - - - About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Views: 19575 edureka!
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Views: 70285 Study IQ education
Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 216010 GoogleTechTalks
Small taste of the most unusual workplace safety training video ever produced.. A Reaper's Guide to OHS. This 4 min safety scene can be shown as an icebreaker for any workplace safety training session. Complete version: https://www.channel1.com.au/product/a-reapers-guide-to-ohs/ whilst entertaining and engaging, provides a general overview of occupational health and safety.
Views: 980216 Channel 1 Creative Media
A talk by Andreas M. Antonopoulos about how new technologies are initially built on old infrastructures until an "infrastructure inversion" happens and they replace the old infrastructure. Comparisons to the automobile, electricity and internet explain the concept and predict a similar future for bitcoin and financial infrastructure. 7:48 - need reference 28:53 - the Red Flag Acts were a series of acts passed between 1861 and 1878. This talk was delivered on March 30th 2016 for Bitcoin Meetup Switzerland in Zurich, Switzerland: https://www.meetup.com/Bitcoin-Meetup-Switzerland/events/228863862/ Andreas M. Antonopoulos is a technologist and serial entrepreneur who has become one of the most well-known and respected figures in bitcoin. Follow on Twitter: @aantonop https://twitter.com/aantonop Website: https://antonopoulos.com/ He is the author of two books: “Mastering Bitcoin,” published by O’Reilly Media and considered the best technical guide to bitcoin; “The Internet of Money,” a book about why bitcoin matters. Subscribe to the channel to learn more about Bitcoin & open blockchains; click on the red bell to enable notifications about new videos! MASTERING BITCOIN, 2nd Edition: https://amzn.to/2xcdsY9 Translations of MASTERING BITCOIN: https://bitcoinbook.info/translations-of-mastering-bitcoin/ THE INTERNET OF MONEY, v1: https://amzn.to/2ykmXFs THE INTERNET OF MONEY, v2: https://amzn.to/2IIG5BJ Translations of THE INTERNET OF MONEY: Spanish, 'Internet del Dinero' (v1) - https://amzn.to/2yoaTTq French, 'L'internet de l'argent' (v1) - https://www.amazon.fr/Linternet-largent-Andreas-M-Antonopoulos/dp/2856083390 Russian, 'Интернет денег' (v1) - https://www.olbuss.ru/catalog/ekonomika-i-biznes/korporativnye-finansy-bankovskoe-delo/internet-deneg Vietnamese, 'Internet Của Tiền Tệ' (v1) - https://alphabooks.vn/khi-tien-len-mang MASTERING ETHEREUM (Q4): https://amzn.to/2xdxmlK
Views: 33963 aantonop
Advizor Solutions provides visual analysis and data visualization software. Advizor products combine data visualization software with in-memory data-management and predictive analytics to provide problem solving capabilities. Advizor products offer large-scale enterprise solutions as well as benefits to individuals and small businesses. For more information visit http://www.OfficeAdvizor.com
Views: 1647 AdvizorSolutions
Forbes Magazine has named Daniela Witten, Associate Professor of Biostatistics and Statistics at the University of Washington to its 30 under 30 list. Professor Witten improves the statistical tools used in genetic research. UW 360 hosted by Carolyn Douglas, looks at events, people and places at the University of Washington. http://uwtv.org/uw360 http://uwtv.org
Views: 8718 UW Video
Colocation analysis enables us to identify events occurring at the same place at the same time. In this tutorial, we will identify colocations in a dataset about individuals in New York City
Views: 989 SAPAnalyticsTraining
iTunes: http://smarturl.it/TillItsgone Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Till It’s Gone. (C) 2014 Interscope Records Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL #Yelawolf #TillItsGone #Vevo #HipHop #OfficialMusicVideo
Views: 90958209 YelawolfVEVO
Bonus Features: http://www.hiddensecretsofmoney.com Today, mankind stands at a crossroads, and the path that humanity chooses may have a greater impact on our freedom and prosperity than any event in history. In 2008 a new technology was introduced that is so important that its destiny, and the destiny of mankind are inextricably linked. It is so powerful that if captured and controlled, it could enslave all of humanity. But if allowed to remain free and flourish - it could foster unimaginable levels of peace and prosperity. It has the power to replace all financial systems globally, to supplant ninety percent of Wall St, and to provide some functions of government. It has no agenda. It's always fair and impartial. It can not be manipulated, subverted, corrupted or cheated. And - it inverts the power structure and places control of one's destiny in the hands of the individual. In the future, when we look back at the 2.6 million-year timeline of human development and the major turning points that led to modern civilization - the creation of farming, the domestication of animals, the invention of the wheel, the harnessing of electricity and the splitting of the atom - the sixty year development of computers, the internet and this new technology will be looked upon as a single event...a turning point that will change the course of human history. It's called Full Consensus Distibuted Ledger Technology, and so far its major use has been for cryptocurrencies such as Bitcoin....but its potential goes far, far beyond that. The Crypto Revolution: From Bitcoin to Hashgraph is our latest episode of Hidden Secrets of Money. It’s about the evolution of cryptocurrencies and full consensus distributed ledger technology, and how they will change our world. I believe that this video is by far the easiest way for the average person to gain an understanding of what cryptocurrencies are and how they work, but more importantly, the immense power of full consensus distributed ledger technology and the impact it will have on our daily lives. I have an absolute passion for monetary history and economics, and I love teaching them. Cryptocurrencies are our future, and there is no escaping it… this is the way everything will be done from now on. But, we now stand at a crucial turning point in history. Full consensus ledgers such as Blockchain and Hashgraph have the power to enslave us, or free us… it all depends on how we choose to use them. If we choose to support centralized versions issued by governments and the financial sector we will be granting them more control over our daily lives. Politicians and bureaucrats will be able raise taxes instantly, whenever they want, on every dollar you make as you make them, and every dollar you spend as you spend them. If they think the economy needs stimulating they'll be able to enforce huge negative interest rates, effectively punishing you for not spending everything you earn before you earn it. They'll be able to decide where you can go and where you can’t, what you can buy and what you can’t, and what you can do and whatever they decide you can’t do… and if they don't like you, they can just disconnect you from the monetary system. So, will the monetary system become fully distributed and help to free mankind, or will it be centralized and enslave us? The choice is in front of us right now, and our decisions will create our future. I believe that this will be a binary outcome, there is no middle ground, it will either be one future or the other. The question is, will it be the future we want? Or the future they want? I’m a precious metals dealer and one thing I’ve learned is that gold, silver, and now free market decentralized cryptocurrencies, represent freedom. Because of this knowledge I started investing in crypto currencies long ago and also became one of the first precious metals dealers to accept bitcoin as payment for gold and silver. I would really appreciate it if you could share this video with everyone you know. I think it’s very important that as many people as possible find out about the changes to the global monetary system that are happening right now… nothing will affect us more, and everyone’s future depends on it. Thanks, Mike If you enjoyed watching this video, be sure to pick up a free copy of Mike's bestselling book, Guide to Investing in Gold & Silver: https://goldsilver.com/buy-online/investing-in-gold-and-silver/ (Want to contribute closed captions in your language for our videos? Visit this link: http://www.youtube.com/timedtext_cs_panel?tab=2&c=UCThv5tYUVaG4ZPA3p6EXZbQ)
Views: 816773 GoldSilver (w/ Mike Maloney)
The story of Oakland A's general manager Billy Beane's successful attempt to put together a baseball club on a budget by employing computer-generated analysis to draft his players. Director: Bennett Miller Writers: Steven Zaillian (screenplay), Aaron Sorkin (screenplay) Stars: Brad Pitt, Robin Wright and Jonah Hill Via: http://movies.yahoo.com/trailers/
Views: 2433276 Movieclips Trailers
BUILDING RECOMMENDED SYSTEMS WITH MACHINE LEARNING AND AI Part 3 What you’ll learn Understand and apply user-based and item-based collaborative filtering to recommend items to users Create recommendations using deep learning at massive scale Build recommender systems with neural networks and Restricted Boltzmann Machines (RBM’s) Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU) Build a framework for testing and evaluating recommendation algorithms with Python Apply the right measurements of a recommender system’s success Build recommender systems with matrix factorization methods such as SVD and SVD++ Apply real-world learnings from Netflix and YouTube to your own recommendation projects Combine many recommendation algorithms together in hybrid and ensemble approaches Use Apache Spark to compute recommendations at large scale on a cluster Use K-Nearest-Neighbors to recommend items to users Solve the “cold start” problem with content-based recommendations Understand solutions to common issues with large-scale recommender systems Course content Expand all 109 lectures 09:17:16 Requirements A Windows, Mac, or Linux PC with at least 3GB of free disk space. Some experience with a programming or scripting language (preferably Python) Some computer science background, and an ability to understand new algorithms. Description Learn how to build recommender systems from one of Amazon’s pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon’s personalized product recommendation technologies. You’ve seen automated recommendations everywhere – on Netflix’s home page, on YouTube, and on Amazon as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you’ll become very valuable to them. We’ll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you’ll learn from Frank’s extensive industry experience to understand the real-world challenges you’ll encounter when applying these algorithms at large scale and with real-world data. Recommender systems are complex; don’t enroll in this course expecting a learn-to-code type of format. There’s no recipe to follow on how to make a recommender system; you need to understand the different algorithms and how to choose when to apply each one for a given situation. We assume you already know how to code. However, this course is very hands-on; you’ll develop your own framework for evaluating and combining many different recommendation algorithms together, and you’ll even build your own neural networks using Tensorflow to generate recommendations from real-world movie ratings from real people. We’ll cover: Building a recommendation engine Evaluating recommender systems Content-based filtering using item attributes Neighborhood-based collaborative filtering with user-based, item-based, and KNN CF Model-based methods including matrix factorization and SVD Applying deep learning, AI, and artificial neural networks to recommendations Session-based recommendations with recursive neural networks Scaling to massive data sets with Apache Spark machine learning, Amazon DSSTNE deep learning, and AWS SageMaker with factorization machines Real-world challenges and solutions with recommender systems Case studies from YouTube and Netflix Building hybrid, ensemble recommenders This comprehensive course takes you all the way from the early days of collaborative filtering, to bleeding-edge applications of deep neural networks and modern machine learning techniques for recommending the best items to every individual user. The coding exercises in this course use the Python programming language. We include an intro to Python if you’re new to it, but you’ll need some prior programming experience in order to use this course successfully. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you’ll need to be able to understand new computer algorithms. High-quality, hand-edited English closed captions are included to help you follow along. I hope to see you in the course soon! Who is the target audience? Software developers interested in applying machine learning and deep learning to product or content recommendations Engineers working at, or interested in working at large e-commerce or web companies Computer Scientists interested in the latest recommender system theory and research
Views: 98 Youtube SEO
In this talk, Andreas looks at scaling as an ongoing process. Using examples from the history of the Internet -- which has "failed to scale, gracefully, for 25 years" --- he discusses the scaling debate and looks at how Bitcoin will scale over the next several years. This talk took place on on March 22nd 2016 for the Institute of Cryptoanarchy's Paralelni Polis event in Prague, Czech Republic / Czechia. RELATED: Exponential Innovation: Hackers Congress - https://youtu.be/n2yD1PSWBU0 Scaling complex systems - https://youtu.be/dm9m1oQr6Ks Layered scaling and privacy - https://youtu.be/4w-bjUhpf_Q The internet will eat your business - https://youtu.be/DXLZSgf4b8Q Delivering Liberty, At Scale - https://youtu.be/AecPrwqjbGw Bitcoin, Payment Security, and Consumer Protection - https://youtu.be/qMkGfB8X58o Worse Than Useless: Financial Surveillance - https://youtu.be/n4F-h4xuXMk The Killer App: Engineering the Properties of Money - https://youtu.be/MxIrc1rxhyI Beyond Price: Bitcoin's Impact on the Future - https://youtu.be/rvwVbRQ5Ysc Introduction to the Internet of Money - https://youtu.be/rc744Z9IjhY The Lightning Network - https://www.youtube.com/playlist?list=PLPQwGV1aLnTurL4wU_y3jOhBi9rrpsYyi Altcoins and the scaling debate - https://youtu.be/slbpdW-H3yk Scaling is a moving target - https://youtu.be/pT9kJq_Ogrk Scaling, trust, and trade-offs - https://youtu.be/vCxmHwqyJWU From barter to abstract money - https://youtu.be/KYsppZoHguQ Fungibility, privacy, anonymity - https://youtu.be/y3s8c7YDtXU Coinbase vs. the IRS - https://youtu.be/YQJk-5ZYmoM Could governments take over exchanges? - https://youtu.be/9PrJQeKl9w4 Alternatives to centralised exchanges - https://youtu.be/3jmeJjhH84s HODLing and the "get free" scheme - https://youtu.be/MhOwmsW1YNI Andreas M. Antonopoulos is a technologist and serial entrepreneur who has become one of the most well-known and respected figures in bitcoin. Follow on Twitter: @aantonop https://twitter.com/aantonop Website: https://antonopoulos.com/ He is the author of two books: “Mastering Bitcoin,” published by O’Reilly Media and considered the best technical guide to bitcoin; “The Internet of Money,” a book about why bitcoin matters. THE INTERNET OF MONEY, v1: https://www.amazon.co.uk/Internet-Money-collection-Andreas-Antonopoulos/dp/1537000454/ref=asap_bc?ie=UTF8 [NEW] THE INTERNET OF MONEY, v2: https://www.amazon.com/Internet-Money-Andreas-M-Antonopoulos/dp/194791006X/ref=asap_bc?ie=UTF8 Highlights from "The Internet of Money" (Volume 2): https://youtu.be/Qkjm5E5BeB8 MASTERING BITCOIN: https://www.amazon.co.uk/Mastering-Bitcoin-Unlocking-Digital-Cryptocurrencies/dp/1449374042 [NEW] MASTERING BITCOIN, 2nd Edition: https://www.amazon.com/Mastering-Bitcoin-Programming-Open-Blockchain/dp/1491954388 Subscribe to the channel to learn more about Bitcoin & open blockchains! If you want early-access to talks and a chance to participate in a monthly LIVE Q&A with Andreas, become a patron: https://www.patreon.com/aantonop
Views: 26435 aantonop
This Support Vector Machine in R tutorial video will help you understand what is Machine Learning, what is classification, what is Support Vector Machine (SVM), what is SVM kernel and you will also see a use case in which we will classify horses and mules from a given data set using SVM algorithm. SVM is a method of classification in which you plot raw data as points in an n-dimensional space (where n is the number of features you have). The value of each feature is then tied to a particular coordinate, making it easy to classify the data. Lines called classifiers can be used to split the data and plot them on a graph. SVM is a classification algorithm used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Now, let us get started and understand Support Vector Machine in detail. Below topics are explained in this "Support Vector Machine in R" video: 1. What is machine learning? 2. What is classification? 3. What is support vector machine? 4. Understanding support vector machine 5. Understanding SVM kernel 6. Use case: classifying horses and mules To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the Slides here: https://goo.gl/w72XBR Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment. Why learn Data Science with R? 1. This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc 2. According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 3. Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 4. Randstad reports that pay hikes in the analytics industry are 50% higher than IT The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies, and includes R CloudLab for practice. 1. Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R. 2. Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing. 3. As a part of the data science with R training course, you will be required to execute real-life projects using CloudLab. The compulsory projects are spread over four case studies in the domains of healthcare, retail, and the Internet. Four additional projects are also available for further practice. The Data Science with R is recommended for: 1. IT professionals looking for a career switch into data science and analytics 2. Software developers looking for a career switch into data science and analytics 3. Professionals working in data and business analytics 4. Graduates looking to build a career in analytics and data science 5. Anyone with a genuine interest in the data science field 6. Experienced professionals who would like to harness data science in their fields Learn more at: https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-r-excel-training?utm_campaign=Support-Vector-Machine-in-R-QkAmOb1AMrY&utm_medium=Tutorials&utm_source=youtube For more information about Simplilearn courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 6991 Simplilearn
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 151 Clickmyproject
The Business Blockchain charts new territory in advancing our understanding of the blockchain by unpacking its elements like no other before. William Mougayar anticipates a future that consists of thousands, if not millions of blockchains that will enable not only frictionless value exchange, but also a new flow of value, redefining roles, relationships, power and governance. In this book, Mougayar makes two other strategic assertions. First, the blockchain has polymorphic characteristics; its application will result in a multiplicity of effects. Second, we shouldn’t ask ourselves what problems the blockchain solves, because that gives us a narrow view on its potential. Rather, we should imagine new opportunities, and tackle even more ambitious problems that cross organizational, regulatory and mental boundaries. Drawing on 34 years of technology industry experience as an executive, analyst, consultant, entrepreneur, startup mentor, author, blogger, educator, thought leader and investor, William Mougayar describes a future that is influenced by fundamental shifts brought by blockchain technology as the catalyst for change. William Mougayar has been described as the most sophisticated blockchain business thinker. He is a blockchain industry insider whose work has already shaped and influenced the understanding of blockchain for people around the world, via his generous blogging and rigorous research insights. He is a direct participant in the crypto-technology market, working alongside startups, entrepreneurs, pioneers, leaders, innovators, creators, enterprise executives and practitioners; in addition to being an investor, advisor, and board member in some of the leading organizations in this space, such as the Ethereum Foundation, OpenBazaar and Coin Center.
Views: 39373 Talks at Google
Join Wenco subject matter experts Simran Walia, Eric Winsborrow, and Jason Clarke, and Murray O'Keefe of Maules Creek mine, as they discuss Unlocking Hidden Value in Mine Operations Data.
Views: 324 Wencomine
Snow Tha Product - “Nights" (feat. W. Darling) Download: http://smarturl.it/DownloadNights Stream: http://smarturl.it/StreamNights Connect with Snow https://twitter.com/SnowThaProduct https://www.facebook.com/SnowThaProduct https://www.instagram.com/snowthaproduct https://soundcloud.com/snowthaproduct http://www.snowthaproduct.com/
Views: 7963510 SNOWTHAPRODUCT
FREE PUBLIC SPEAKING SERIES: https://londonreal.tv/psaplc1yt/ FREE WEBINAR - Turn Your Big Idea Into A Winning Product: http://londonreal.link/ba5Web2evYT Andreas Antonopoulos - Bitcoin. FREE FULL EPISODE: https://londonrealacademy.com/episodes/andreas-antonopoulos-bitcoin/ Andreas Antonopoulos is a Greek - California-based information security expert, tech-entrepreneur and author. He is a host on the Let's Talk Bitcoin podcast and a teaching fellow for the master in science Digital Currencies at the University of Nicosia. SUBSCRIBE ON YOUTUBE: http://bit.ly/SubscribeToLondonReal Chapters: 00:00 Trailer. 02:04 Brian’s thoughts on the episode. 05:56 Brian’s Introduction. 06:30 London Real’s relationship with Max Keiser and Bitcoin. 08:12 Background to Bitcoin revelatory moment for Andreas. 11:56 Satoshi Nakamoto, who (he or she) created the first network centric platform. 12:34 Bitcoin is the first application of the invention there are so many more possible applications. 14:54 Andreas’ fugue type state of complete obsession whilst searching for deeper understanding. 16:59 Why is it that criminals become the early adopters of new technology? 19:23 Government’s connivance. 19:42 Dread Pirate Roberts, the Silk Road and the Drug Enforcement Administration (DEA) 20:51 You can’t get stabbed over TCP/IP. 23:58 The Silk Road was the best peer reviewed marketplace. Best quality and best repeat business. 27:08 How Andreas has successfully used his skill to further knowledge of Bitcoin. 29:16 Dichotomy of the volatility in value of Bitcoin tracking interest in Bitcoin. 33:44 The amount of Bitcoins existing and why it doesn’t matter. 36:05 What Bitcoin miners do. 38:11 Difficulty in explaining Bitcoin to the everyday consumer. 40:34 What Andreas is able to purchase with Bitcoin. 43:13 Transformational possibilities of cross border transactions is why Andreas is in Bitcoin. 48:22 How long will his vision take to materialise? 49:35 The amount of investment in the Bitcoin space. 53:45 Competition from other payment opportunities such as Apple Pay and Facebook messenger. 57:47 How does Andreas choose his involvement in Bitcoin? 1:00:23 Why is his a dangerous job, seemingly acting as a lightning rod to certain individuals? 1:03:43 Andreas’ view of what caused the Greek financial crisis and its relationship with Bitcoin. 1:12:51 What is the 20 year outlook for crypto economy space? A self-driving, self-owning Uber taxi? 1:19:14 What happens to the world economy when you bring 6 billion new productive but disconnected people, online? 1:22:51 Success secrets. 1:23:46 London is great, but is it heading for walled courtyards with guards and slum cities around? 1:29:15 Phone call to the 20 year old Andreas. 1:30:09 Best advice Andreas has ever received. 1:33:16 Advice to young people who want to advance cryptocurrencies. 1:35:57 What it is like being on the Joe Rogan show three times. 1:39:15 Brian’s summing up. Topics discussed: Bitcoin https://en.wikipedia.org/wiki/Bitcoin Cryptocurrency https://en.wikipedia.org/wiki/Cryptocurrency Blockchain (formerly blockbase) https://en.wikipedia.org/wiki/Blockchain_(database) Distributed Computing https://en.wikipedia.org/wiki/Distributed_computing DigiCash https://en.wikipedia.org/wiki/DigiCash Satoshi Nakamoto original white paper https://bitcoin.org/bitcoin.pdf Silk Road (marketplace) https://en.wikipedia.org/wiki/Silk_Road_(marketplace) Drug Enforcement Administration (DEA) https://en.wikipedia.org/wiki/Drug_Enforcement_Administration Clickbait https://en.wikipedia.org/wiki/Clickbait Internet Protocol Suite (TCP/IP) https://en.wikipedia.org/wiki/Internet_protocol_suite Prohibition in the United States https://en.wikipedia.org/wiki/Prohibition_in_the_United_States ‘The Dark Net: Inside the Digital Underworld’ by Jamie Bartlett https://www.amazon.com/Dark-Net-Inside-Digital-Underworld/dp/1612195210 Escrow https://en.wikipedia.org/wiki/Escrow eBay https://en.wikipedia.org/wiki/EBay PayPal https://en.wikipedia.org/wiki/PayPal Bitcoin Obituaries https://99bitcoins.com/bitcoinobituaries/ Western Union https://en.wikipedia.org/wiki/Western_Union ‘Zero to One’ by Peter Thiel https://en.wikipedia.org/wiki/Zero_to_One FinTech https://en.wikipedia.org/wiki/Financial_technology Coinbase https://en.wikipedia.org/wiki/Coinbase Winklevoss Bitcoin Trust https://en.wikipedia.org/wiki/Winklevoss_twins People mentioned in this episode: Max Keiser https://londonrealacademy.com/episodes/max-keiser-bitcoin-bernanke-buffett/ David Chaum https://en.wikipedia.org/wiki/David_Chaum Satoshi Nakamoto https://en.wikipedia.org/wiki/Satoshi_Nakamoto Ross Ulbricht (pseudonym Dread Pirate Roberts) https://en.wikipedia.org/wiki/Ross_Ulbricht Jamie Bartlett https://londonrealacademy.com/episodes/jamesbartlett/ FULL SHOW NOTES: https://londonrealacademy.com/episodes/andreas-antonopoulos-bitcoin/ Music by: DjSadhu http://www.djsadhu.com #LondonReal #LondonRealTV
Views: 165571 London Real
The power of public health: Dr. Arthur Kellermann, 2012 Distinguished Alumnus of the Year for the University of Washington School of Public Health, talks to this year's graduates about their power to transform communities and improve the lives of people in enduring ways.
Views: 2068 University of Washington School of Public Health
Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world. Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today, Data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights. It shows that, if exploited, this new revolution will change the way decisions are made—relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management. Lohr explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years. Filled with rich examples and anecdotes of the various ways in which the rise of Big Data is affecting everyday life it raises provocative questions about policy and practice that have wide implications for all of our lives.
Views: 4795 Talks at Google
Learn how to strategically set up your shelf using a consumer decision tree. This approach will set you up for success, because you're organizing the shelf based on what's most important to the Shopper. Happy learning!
Views: 748 Sue Nicholls
www.SageThrive.com www.PorterWorks.com Businesses around the globe produce nearly as much waste as they do product -- almost 110 million tons annually in the US alone. Washington State spent more than 500 million dollars on waste disposal, recycling, and composting in 2009. But what is the real cost to business and the community? Filmed between Spring and Summer of 2011, "Unwasted" is a look at businesses and organizations in and around the Puget Sound who are leading the way toward a less wasteful, more profitable and environmentally sustainable society. Sage Environmental Services is pleased to bring this project to you. For information on screening, obtaining a copy or learning more about the project & the team behind it, visit: www.sagebug.com Director: Kyle Porter Producers: by Anna and Dave Porter Executive Producer: Julie Pond Production Assistance: Mattie Porter Music: Vox Mod and Kyle Porter Title Design: Ashley Pond V "Trains That Look Like Towns" by Exohxo www.ExohxoMusic.com This video is CC 3.0 Public performances encouraged.
Views: 78913 PorterWorks
View full lesson: http://ed.ted.com/lessons/the-science-of-milk-jonathan-j-o-sullivan The milk industry produces in excess of 840 million tons of products each year. Why do humans drink so much milk? And given that all mammals lactate, why do we favor certain types of milk over others? Jonathan J. O’Sullivan describes how milk is made. Lesson by Jonathan J. O'Sullivan, animation by TED-Ed.
Views: 837318 TED-Ed
Capitalism: Success, Crisis and Reform (PLSC 270) Professor Rae explores the creation of incentives and disincentives for individual action. The discussion begins with the Coase Theorem, which outlines three conditions for efficient transactions: 1) clear entitlements to property, 2) transparency, and 3) low transaction costs. Professor Rae then tells the story of a whaling law case from 1881 to highlight the power of incentives and property rights. The conversation then moves to Hernando de Soto's portrayal of the development of property rights in the American West, and then shifts to a discussion of New Haven deeds, property values, and valuation of real estate. The lecture concludes with a discussion of Mory's. 00:00 - Chapter 1. Introduction and Agenda 02:51 - Chapter 2. Coase "Theorem" 18:04 - Chapter 3. Ghen v. Rich (1881) 23:24 - Chapter 4. De Soto in America Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses This course was recorded in Fall 2009.
Views: 12198 YaleCourses
UN Peacekeeper Captain Mbaye Diagne died in Rwanda in 1994 after saving hundreds of Rwandans from the genocide. His widow, Yacine Mar Diop, and children, Coumba and Cheikh Diagne, share stories about their husband, father. Learn More: http://bit.ly/20c9TYB
Views: 1684 United Nations
Trick Art "Optical Illusion" : Hole and scale in my hand This Time Lapse Optical is the 4 of a series of 5 drawings on the hand. Facebook: http://www.facebook.com/TutoDraw Instagram : http://www.instagram.com/TutoDraw MUSIC : : Render,Prism License: http://bit.ly/CCAttribution A Creative Commons Attribution License (CC BY) Jordan Molina 2015
Views: 21109760 TutoDraw
Check out the official music video for Bebe Rexha's "I Can't Stop Drinking About You"! Bebe Rexha's "I Don't Wanna Grow Up" EP is available now on iTunes! Download it here: smarturl.it/IDontWannaGrowUpEP LISTEN Available on iTunes: http://bit.ly/1ouIvWw Available on Spotify: http://smarturl.it/ICSDAYSpotify CONNECT WITH BEBE Offical Website: http://www.beberexha.com Facebook: https://www.facebook.com/Beberexha Twitter: http://www.twitter.com/BEBEREXHA Instagram: http://instagram.com/beberexha Youtube: http://www.youtube.com/BEBEREXHA Soundcloud: https://soundcloud.com/beberexha LYRICS No ones gonna love you like I do. No ones gonna care like I do. And I can feel it in the way that you breathe. I know you dream of her while you sleep next to me. I can't stop drinking about you. I gotta numb the pain. I can't stop drinking about you. Without you I ain't the same. So pour a shot in my glass and I'll forget forever! So pour a shot in my glass cause it makes everything better! Darlin tell me what more can I do? Don't you know that I was meant for you? You say I feel like heaven on earth, But You'd never know what heaven was if it wasn't for... her. I can't stop drinking about you. I gotta numb the pain. I can't stop drinking about you. Without you I ain't the same. So pour a shot in my glass and I'll forget forever! So pour a shot in my glass cause it makes everything better! I can't stop drinking about you. I can't stop drinking about you. No ones gonna love you like I do. I can't stop drinking about you. I can't stop drinking about you. So pour a shot in my glass and I'll forget forever! So pour a shot in my glass cause it makes everything better! No ones gonna love you like I do.
Views: 20064379 Bebe Rexha
This is Lecture 9 of 40 for massive open online course (MOOC) for the subject: 'Housing Policy and Planning', run by NPTEL under the government of India. In this lecture video, we will discuss about the Land, Its supply and Management for housing development.
Views: 1997 Housing Policy & Planning
Growing up in India, West Africa and the Middle East, Jennifer Sherman was taught how to escape danger zones within a riot, how to distinguish the symptoms of mustard gas from other nerve agents and the treatment of each. She knows, firsthand, the symptoms of dysentery, dehydration and fear. Today, Jennifer is a Senior Director of Applications Strategy at Oracle Corporation where she works with large and small public and private sector organizations looking to transform the capabilities and reach of their supply chains and distribution networks. She believes that efficient, equitable supply chain management can help us rethink the way we make and distribute products around the world, bringing opportunity to new communities that are often ignored today. She holds a BS in Industrial Engineering and an MS in Industrial Engineering and Engineering Management from Stanford University. Event video by: http://repertoireproductions.com/
Views: 7775 TEDx Talks
Panel members on three different continents share their cryptocurrency thoughts on this very special episode of This week in Bitcoin! England, Australia and Canada are in the house. Some people think Bitcoin is entering a bear market- do our panelists agree? What did they think of this week's Korean FUD and what do they think is next threat to cryptocurrency? Special report from warm Australia! BTC sessions- https://twitter.com/btcbenny RenegadeinvestorUK- https://twitter.com/sharkybit Martin Davidson- https://blockchaincentre.com.au/ See me in LA on Friday- https://www.meetup.com/Los-Angeles-Century-City-Bitcoin/events/246308910/ Article that Renegade mentioned- https://medium.com/@melik_87377/lightning-network-enables-unicast-transactions-in-bitcoin-lightning-is-bitcoins-tcp-ip-stack-8ec1d42c14f5 Blockchain Centre- https://twitter.com/blockchainctr Incubator- https://blockchaincentre.com.au/incubator/ Thursday's show- https://www.youtube.com/watch?v=ZxSt0_3-Q-4 Wednesday show- https://www.youtube.com/watch?v=pTFJrZtaaAk Tuesday's Show- https://www.youtube.com/watch?v=dXVURQN9Qx0 Sunday's show- https://www.youtube.com/watch?v=uVau5Qg_4yk Saturday's show- https://www.youtube.com/watch?v=PvxjUmcpbcs WCN Podcast- https://itunes.apple.com/us/podcast/the-world-crypto-network-podcast/id825708806?mt=2 Bitcoin people you need to know- https://www.youtube.com/watch?v=YuWlWnJqHn4 Birth of the Crypto-dividend- https://www.youtube.com/watch?v=rg86clOEd3A Email the Disrupt Meister intern- [email protected] and tell us why you want to be an intern! -------------------------------------------------------------------------------------- CryptoHWwallet affiliate link- https://www.cryptohwwallet.com?acc=a87ff679a2f3e71d9181a67b7542122c "MeisterFreeHW1Over200" This is the coupon that is for people who spends over $200 (exclude shipping) to get a free H.W1. Ledger hardware wallet. Limit 10 pcs only coupon use at first, first come first serve basis only. 1 per customer for up to 10 uses. BUY Cryptograffiti shirts here and use the "Meister" discount code to get 10% off anything in the store! https://cryptograffiti.com/collections/all UPVOTE THIS- https://steemit.com/bitcoin/@bitcoinmeister/bitcoin-strong-brand-dead-coin-spreadcoin-s-forked-bspread-shows-the-strength-of-the-btc-name Buy your Bitcoin Trezor storage device here: https://shop.trezor.io/?a=c81d29b7bbf1 Buy Bitcoin at Coinbase here: https://www.coinbase.com/join/528aa4ec443594782100003a CryptoHWwallet affiliate link- https://www.cryptohwwallet.com?acc=a87ff679a2f3e71d9181a67b7542122c Adam's Twitter- https://twitter.com/TechBalt Adam's Minds- https://www.minds.com/BitcoinMeister Support the cause if you like what I have to say: BTC: 3HZngc6ASzt3deDm582u8xJRFAwmz7YTwG ETC: 0xb28CD007E0495b34BA6030859030322b7bE8422B Monero: 49broKTMLfFBZtzFFWptyqbuTF4rm7Pp6HZj4ReRuKQf3Z6uFjCbWgs6n4ymX5aYTsczoELGd3vYSD4XUQrjvy3S5qTsN3s LTC: LQm55H4oUCoVPiBd25A4v2jHXLtC9oo9Jg ETH: 0x0feb7bCd89C4Ea0c14FC7D94b9afBDE993034AD5 DASH: Xjcpo8Lh6NKQoV3F12pGpXUiK4XRoQyudN Decred: Dsoq2ZPcqQDj5TSBLMAFX2SxCMHaYFnDty4 BGold: AN6p1tD2KwRKvhiinprN9wCqGe4KUqPsY5 My latest Steemit post: https://steemit.com/bitcoin/@bitcoinmeister/live-at-4pm-est-this-week-in-bitcoin-1-5-2018-return-of-the-btc-ripple-giacomo-zucco-michael-krieger-kenn-bosak My Steemit page: https://steemit.com/@bitcoinmeister https://www.youtube.com/c/BitcoinMeister http://disruptmeister.com/ Value of every cryptocurrency- https://www.coinmarketwatch.com Watch more of my Bitcoin videos here: https://www.youtube.com/playlist?list=PLLgyAakZPtCVQKl6naVHUfOiICFG8BYMp Adam Meister is available for an hour long Bitcoin/cryptocurrency consultation where he can walk you through the Trezor installation process and help you move your Bitcoins to the Trezor. He will answer all your questions in that hour. Trezor is just one Bitcoin topic that Adam can help you with, you can ask his advice on anything cryptocurrency related. From marketing and promotion to Altcoins to storage and the buy and hold philosophy. Adam's hourly rate is 0.11 Bitcoin. Feel free to email: Adam AT TrezorHelp DOT com to set up a Skype/phone consultation or to arrange an in person appearance or speaking engagement. Adam is available to speak at conferences around the world. Follow Adam on Twitter here: https://twitter.com/TechBalt Buy your Bitcoin Trezor storage device here: https://shop.trezor.io/?a=c81d29b7bbf
Views: 2601 BitcoinMeister
The High Court’s International Crimes Division in Kampala has introduced new guidelines aimed at restricting the media coverage of the trial of the 32 suspects accused of murdering Muslim clerics between 2012 – 2015. The new rules issued by Justice Ezekiel Muhanguzi greatly limit media freedoms in the courtroom and threaten journalists with expulsion from court for failing to adhere to the conditions.
Views: 367 NBS TV Uganda
Taught by Mehrdad Jazayeri and Josh Tenenbaum Lecture slides, references, exercises, and sign-ups for future tutorials are posted here: https://stellar.mit.edu/S/project/bcs... Thanks to MIT BCS seminar committee, postdoc committee (especially Evan Remington), and graduate advocate committee for funding and organizing help. Videos by the Center for Minds Brains and Machines. Tutorial series founded by Emily Mackevicius.
Views: 3025 Center for Brains, Minds and Machines (CBMM)
NASA astronaut Scott Kelly addressed the United Nations General Assembly during the 2015 Sustainable Development Summit which took place 25 to 27 September. In a video message that showed Mr. Kelly floating in inside the Tranquillity node of the International Space Station, he spoke about how beautiful and fragile the Earth appeared from space.
Views: 1597 UN Office for Outer Space Affairs