Perceptrons: An Introduction to Computational Geometry
Perceptrons stands as a definitive exploration of how simple neural networks process information and solve geometric problems. Written by two pioneers of artificial intelligence, this work examines the mathematical foundations of parallel computation and threshold logic. It provides a rigorous analysis of what single layer networks can and cannot accomplish, offering a clear perspective on the me…
Shelves
More like this
Data Structures and Algorithms in Python
Based on the authors' market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data …
Python Machine Learning
Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi... Many of the mo…
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
"You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence trained by scientist Janell…
The Book of Why: The New Science of Cause and Effect
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize art…
Introduction to Information Retrieval
Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of t…
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan,…
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sens…
The Hundred-Page Machine Learning Book
Concise and to the point — the book can be read during a week. During that week, you will learn almost everything modern machine learning has to o…
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstruct…
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
During the past decade there has been an explosion in computation and information technology. With it has come vast amounts of data in a variety o…
Pattern Recognition and Machine Learning
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed…
Machine Learning: A Probabilistic Perspective
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled d…