Introduction to Machine Learning

Main
Computers - Computer Science
Introduction to Machine Learning

Introduction to Machine Learning

Ethem Alpaydin

5.0 / 0

你有多喜歡這本書？

文件的質量如何？

下載本書進行質量評估

下載文件的質量如何？

A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions.

類別:

Computers - Computer Science

年:

2004

出版商:

The MIT Press

語言:

english

頁數:

432

ISBN 10:

0262012111

ISBN 13:

9780262012119

系列:

Adaptive Computation and Machine Learning

文件:

PDF, 36.17 MB

IPFS:

,

english, 2004

轉換進行中

轉換為失敗

你可能感興趣

Nilsson N.J. — Introduction to machine learning

Michie D. — Machine learning, neural and statistical classification

Sebe N et al — Machine Learning in Computer Vision

Ian H. Witten, Eibe Frank — Data Mining: Practical Machine Learning Tools and Techniques

Ethem Alpaydin — Introduction to machine learning

Ethem Alpaydin — Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)

Pierre Baldi, SÃ¸ren Brunak — Bioinformatics: the machine learning approach

Ethem Alpaydin — Introduction to Machine Learning

Ethem Alpaydin — Introduction to Machine Learning

Lise Getoor, Ben Taskar — Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

David J. Hand, Heikki Mannila, Padhraic Smyth — Principles of Data Mining

Joaquin QuiÃ±onero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence — Dataset Shift in Machine Learning

Peter Spirtes, Clark Glymour, Richard Scheines — Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)

Ethem Alpaydin — Introduction to machine learning

Alpaydin, Ethem — Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)

Michael Irwin Jordan — Learning in Graphical Models

Andries P. Engelbrecht — Computational Intelligence. An Introduction

Leon O. Chua, Tamas Roska — Cellular neural networks and visual computing: foundation and applications

Barber D. — Bayesian reasoning and machine learning

Hsieh W.W. — Machine Learning Methods in the Environmental Sciences

Alex Smola, S.V.N. Vishwanathan — Introduction to Machine Learning

A. C. Faul — Faul, A: Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Bashier, Eihab Bashier Mohammed; Khan, Muhammad Badruddin; Mohammed, Mohssen — Machine learning: algorithms and applications

Simon Rogers, Mark Girolami — A First Course in Machine Learning

Sumeet Dua, Xian Du — Data Mining and Machine Learning in Cybersecurity

Naiyang Deng, Yingjie Tian, Chunhua Zhang — Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Du Zhang, Du Zhang; Jeffrey J. P. Tsai — Advances in Machine Learning Applications in Software Engineering

James D. Miller — Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks

Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch — Advanced Lectures On Machine Learning: Revised Lectures

Yves Kodratoff (auth.), Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.) — Machine Learning and Its Applications: Advanced Lectures

Raymond S.T. Lee, Vincenzo Loia (eds). — Machine Learning in Document Analysis and Recognition

Pang-Ning Tan,Michael Steinbach and Vipin Kumar — Introduction to Data Mining

Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle — Least squares support vector machines

Du Zhang, Jeffrey J. P. Tsai — Machine Learning Applications In Software Engineering (Series on Software Engineering and Knowledge Engineering)

Samuel Hack [Hack, Samuel] — Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

Jinwoo, Lee — Machine Learning For Beginners: The Simplified Guide to Understanding Machine Learning

Reese, Richard M;Reese, Jennifer L;Kaluza, Bostjan;Kamath, Dr Uday — Machine Learning: End-to-End guide for Java developers: Data Analysis, Machine Learning, and Neural Networks simplified

Adriy Burkov — The Hundred-Page Machine Learning Book

Vamsee Puligadda — 500 Most Important Data Science Interview Questions and Answers: Crack That Next Interview With Higher Salary In Less Preparation Time

Vamsee Puligadda — 500 Most Important Data Science Interview Questions and Answers: Crack That Next Interview With Higher Salary In Less Preparation Time

Vamsee Puligadda [Puligadda, Vamsee] — 500 Most Important Data Science Interview Questions and Answers: Crack That Next Interview With Higher Salary In Less Preparation Time

Vamsee Puligadda — 500 Data Science Interview Questions and Answers

最常見的術語