# Tag: Statistical Learning (22)

**An Introduction to Statistical Learning: The Free eBook**- Jun 29, 2020.

This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.**The Elements of Statistical Learning: The Free eBook**- May 11, 2020.

Check out this free ebook covering the elements of statistical learning, appropriately titled "The Elements of Statistical Learning."**Learning from 3 big Data Science career mistakes**- Feb 25, 2020.

Thinking of data science as merely a technical profession, like programming, may take you away from your goals. We explain big mistakes to avoid, including not understanding the 2 cultures of statistics, and not understanding the shift to industrial focus.**The 10 Statistical Techniques Data Scientists Need to Master**- Nov 15, 2017.

The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.**Short course: Statistical Learning and Data Mining IV, NYC, Nov 2-3**- Oct 13, 2017.

This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, with emphasis on tools useful for tackling modern-day data analysis problems.**Top KDnuggets tweets, Mar 15-21: Reverse-engineering a $500M AI company in one week; Climate Change Denial and CO2 Emissions**- Mar 22, 2017.

Also Hastie, Tibshirani and Friedman - The Elements of Statistical Learning Book PDF; Getting Close and Personal w. #MachineLearning #Algorithms; Open Source Toolkits for Speech Recognition.**Top KDnuggets tweets, Mar 08-14: In-depth introduction to Machine Learning in 15 hours of expert videos**- Mar 15, 2017.

Also: #ICYMI The #DataScience Project Playbook; Every Intro to #DataScience Course on the Internet, Ranked; Quick reference to #Python in a single script.**Short course: Statistical Learning and Data Mining IV, Palo Alto, Apr 6-7**- Feb 21, 2017.

This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, with emphasis on tools useful for tackling modern-day data analysis problems.**Short course: Statistical Learning and Data Mining IV, Washington, DC, Oct 19-20**- Aug 8, 2016.

This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, including sparse models and deep learning.**Short course: Statistical Learning and Data Science, Palo Alto, Apr 18-19**- Feb 23, 2016.

This *new* two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, with emphasis on tools useful for tackling modern-day data analysis problems.**Free Online Course: Statistical Learning**- Jan 12, 2016.

With a free MOOC from Stanford, dive into statistical learning with the respected professors who literally wrote the book on it.**A Statistical View of Deep Learning**- Nov 13, 2015.

A statistical overview of deep learning, with a focus on testing wide-held beliefs, highlighting statistical connections, and the unseen implications of deep learning. The post links to 6 articles covering a number of related topics.**Statistical Learning and Data Mining: 10 Hot Ideas for Learning from Data, NYC, Oct 8-9**- Aug 27, 2015.

Taught by top Stanford professors and leading statisticians Trevor Hastie and Robert Tibshirani, this course presents 10 hot ideas for learning from data, and gives a detailed overview of statistical models for data mining, inference and prediction.**New Machine Learning and Data Science Books – Save 20%**- Jun 15, 2015.

New books include Statistical Learning with Sparsity: The Lasso and Generalizations, Statistical Reinforcement Learning: Modern Machine Learning Approaches, and Healthcare Data Analytics. Use Promotion Code GZP42 to save 20% off.**Interview: Kaiser Fung, NYU on Why Statistical Reasoning is more important than Number Crunching**- Mar 5, 2015.

We discuss why every individual should care about statistics, inspiration behind the book Numbersense, teaching statistics as liberal arts, Junk Charts blog, advice and more.**All Machine Learning Models Have Flaws**- Mar 3, 2015.

This classic post examines what is right and wrong with different models of machine learning, including Bayesian learning, Graphical Models, Convex Loss Optimization, Statistical Learning, and more.**Statistical Learning and Data Mining III: 10 Hot Ideas for Learning from Data, Mar 19-20, Palo Alto**- Feb 23, 2015.

Taught by top Stanford professors and leading statisticians Trevor Hastie and Robert Tibshirani, this course presents 10 hot ideas for learning from data, and gives a detailed overview of statistical models for data mining, inference and prediction.**Top /r/MachineLearning posts, January**- Feb 13, 2015.

Talking Machines, SVM lectures, a new Stanford statistical learning online course, and a listing of open-source datasets top the most popular Reddit posts on /r/MachineLearning for the month of January.**Top KDnuggets tweets, Sep 24-25: Statistical & Machine learning with R, great 15 hour online course**- Sep 26, 2014.

Watch: Statistical and Machine learning with R, 15 hour online course; 50 Data Science and Statistics Blogs worth reading; Microsoft: Data Scientist; Book: Frequent Pattern Mining.**Statistical Learning and Data Mining III, Boston, Oct 27-28**- Aug 14, 2014.

Taught by top Stanford professors and leading statisticians Trevor Hastie and Robert Tibshirani, this course presents 10 hot ideas for learning from data, and gives a detailed overview of statistical models for data mining, inference and prediction.**Top KDnuggets tweets, Jan 31 – Feb 2: Free books on statistical learning; Intro: Machine Learning and Apache Mahout**- Feb 3, 2014.

3 Free books on statistical learning; Machine Learning and Apache Mahout : very good Introduction; 16 Top #BigData Analytics Platforms; Knowledge Graph, Google giant database of all the facts in the world**SLDM Statistical Learning and Data Mining III – 10 Hot Ideas, Palo Alto, Mar 20-21**- Jan 23, 2014.