# Tag: Trevor Hastie (14)

**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.**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.**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, Feb 26 – Mar 1: Bayes Theorem explained with Lego; 10 Cool #BigData Cartoons**- Mar 2, 2015.

Cute and Educational: Bayes Theorem explained with Lego; 10 Cool #BigData Cartoons #TGIF; #DataMining Indian Recipes finds spices make negative food pairing more powerful; Key Take-Aways from Gartner 2015 MQ for #BI & Analytics Platforms.**Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer**- Feb 26, 2015.

5 lucrative tech careers in 2015: Data Scientist ($150K), Data Engineer ($148K); Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain; 10 Most-Funded #BigData #Startups; DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights.**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.