# Tag: Robert Tibshirani (16)

**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.**7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning**- Apr 17, 2018.

It is vital to have a good understanding of the mathematical foundations to be proficient with data science. With that in mind, here are seven books that can help.**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.**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.**Free Book Download: Statistical Learning with Sparsity: The Lasso and Generalizations**- Jan 6, 2016.

We witness an explosion of Big Data in finance, biology, medicine, marketing, and other fields. This book describes the important statistical ideas for learning from large and sparse data in a common conceptual framework.**H2O World 50% off for 24 hours only – Open Source Machine Learning**- Sep 23, 2015.

Join machine learning industry leaders, H2O customers, and community in a day of H2O training and two days of talks. 50% OFF valid for 24 hours only.**Join machine learning leaders at H2O World, Nov 9-11, early bird rates now**- Aug 28, 2015.

Join H2O for 3-day machine learning conference, hear from top experts including Hilary Mason, Rob Tibshirani, and Stephen Boyd, participate in a hackathon and hands-on data science training.**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.**Top KDnuggets tweets, Mar 12-15: Cartoon: the most difficult challenge facing the 1st US Chief Data Scientist @dpatil**- Mar 16, 2015.

Cartoon: top challenge for US Chief Data Scientist DJ Patil; In-depth intro to #MachineLearning, #Statistics, R: 15 hours of videos; Amazing! Forget coding word meaning, grammar, syntax - now #DeepLearning can learn everything.**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.**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.**SLDM Statistical Learning and Data Mining III – 10 Hot Ideas, Palo Alto, Mar 20-21**- Jan 23, 2014.