Full name: Machine Learning: A Guide to Current Research

Author: Tom M. Mitchell Year: 1986 Rank: Rating: Original Rating: Pop Rating: Genres/categories: Computer Science, Non Fiction Purchase/reserch links: LibraryThing Goodreads Amazon ISBNs: 9780071154673 9780070428072 0071154671 0070428077

Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data. Similar books: Reinforcement Learning by Richard S. Sutton The C Programming Language by Brian W. Kernighan Code Complete by Steve McConnell Refactoring by Martin Fowler Effective Java by Joshua Bloch Mastering Regular Expressions by Jeffrey E. F. Friedl JavaScript: The Good Parts by Douglas Crockford Java Concurrency in Practice by Brian Goetz The Clean Coder by Robert C. Martin Practical Vim by Drew Neil Working Effectively with Legacy Code by Michael Feathers The UNIX Programming Environment by Brian W. Kernighan Domain-Driven Design by Eric Evans Practical Common Lisp by Peter Seibel Learn You a Haskell for Great Good! by Miran Lipovaca The Design and Evolution of C++ by Bjarne Stroustrup The Algorithm Design Manual by Steven S. Skiena JavaScript Patterns by Stoyan Stefanov High Performance MySQL by Jeremy D. Zawodny Modern C++ Design by Andrei Alexandrescu