Naive Bayes

Introduction To Machine Learning (David Sontag)

Collection: 
Individual Authors
Author: 
David Sontag
Year: 
2013
Conditions of Use: 
Attribution-NonCommercial-ShareAlike 2.0 Generic
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Description: 
Machine learning is an exciting and fast-moving field of computer science with many recent consumer applications (e.g., Microsoft Kinect, Google Translate, Iphone's Siri, digital camera face detection, Netflix recommendations, Google news) and applications within the sciences and medicine (e.g., predicting protein-protein interactions, species modeling, detecting tumors, personalized medicine). In this undergraduate-level class, students will learn about the theoretical foundations of machine learning and how to apply machine learning to solve new problems.

Bayesian Reasoning and Machine Learning (David Barber)

Collection: 
Individual Authors
Author: 
David Barber
Year: 
2014
Conditions of Use: 
Freely accessible book
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Description: 
The book is primarily aimed at final year undergraduates and graduates without significant experience in mathematics. On completion, the reader should have a good understanding of the techniques, practicalities and philosophies of probabilistic aspects of Machine Learning and be well equipped to understand more advanced research level material.

A Programmer's Guide to Data Mining (Ron Zacharski)

Collection: 
Individual Authors
Author: 
Ron Zacharski
Year: 
2012
Conditions of Use: 
Attribution-NonCommercial 3.0 Unported
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Description: 
This book follows a learn-by-doing approach. Instead of passively reading the book, I encourage you to work through the exercises and experiment with the Python code I provide. I hope you will be actively involved in trying out and programming data mining techniques. The textbook is laid out as a series of small steps that build on each other until, by the time you complete the book, you have laid the foundation for understanding data mining techniques.

Natural Language Processing (Dan Jurafsky, Christopher Manning)

Collection: 
Coursera
Author: 
Dan Jurafsky, Christopher Manning
Conditions of Use: 
Coursera grants you a personal license to access and use the Sites. You may download material only for your own personal, non-commercial use. You may not copy, reproduce, retransmit, distribute, publish, commercially exploit or transfer material.
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