Christopher Bishop, a Technical Fellow at Microsoft Research, has released his textbook Pattern Recognition and Machine Learning as a free PDF download.
Reinforcement Learning: An Introduction by Rich Sutton and Andrew Barto was recently released on October 15, 2018. A free version is available online.
The University of California at Berkeley has started The Berkeley Data Science Education Program. The goal is to build a data science education program throughout the next several years by engaging faculty and students from across the campus. The introductory data science course is targeting freshman and it is taught from a very applicable and … Continue reading Berkeley Undergrad Data Science Course and Textbook
Mohammed J. Zaki, Computer Science Professor at RPI, and Wagner Meira Jr., Computer Science Professor at Universidade Federal de Minas Gerais, have written the textbook Data Mining and Analysis: Fundamental Concepts and Algorithms. The book is currently available as a PDF download. Based upon the chapters, the book looks very good. It contains large sections … Continue reading Data Mining and Analysis Textbook (Free Download)
After numerous semesters of teaching an introductory course on machine learning, Max Welling, Professor at University of California Irvine, decided to compile an introductory textbook titled, A First Encounter with Machine Learning (PDF link).
This is an online, HTML version of the book, Natural Language Processing with Python. The book is a companion for NLTK which is a free, open source toolkit, written in python, for Natural Language Processing (NLP).
About a week ago I posted a link to a free data mining textbook. Hacker News got wind of the book as well, and I am guessing a flood of traffic hit the textbook’s site. The flood happened to take the site completely down for a couple of days. It was a shame because the … Continue reading Online Textbook Publishing Platform?
Cosma Shalizi of the Statistics Department at Carnegie Mellon University is working on an Advanced Data Analysis from an Elementary Point of View textbook. A copy of the textbook will remain freely available on the website. Since the textbook is still being created, comments are welcome.
The Elements of Statistical Learning textbook is available for free. It is a classic, widely-used textbooks for statistics and machine learning. Here is a far from complete list of some of the topics: Supervised Learning Linear/Logistic Regression Regularization Model Selection Trees Neural Networks Support Vector Machines Random Forests Unsupervised Learning Clustering As you can see, … Continue reading Elements of Statistical Learning Textbook (Free)