Opening book details…
Can I read Introduction to Machine Learning (Adaptive Computation and Machine Learning) on EtoBox?
Introduction to Machine Learning (Adaptive Computation and Machine Learning) by Ethem Alpaydin is a science book available to read on EtoBox.
What is Introduction to Machine Learning (Adaptive Computation and Machine Learning) about?
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. It discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the
Who reads Introduction to Machine Learning (Adaptive Computation and Machine Learning)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ethem Alpaydin
- Publisher
- The MIT Press
- Published
- 2004
- Language
- EN
- ISBN
- 9780262012119
- Category
- science
- Subjects
- Science, Education, Computer Science
- Rating
- 4.8 / 5 (11 ratings)
- Updated
- 2026-03-14
Other editions & translations
- Introduction to Machine Learning (Adaptive Computation and Machine Learning series) (2010)
- Introduction to Machine Learning, Fourth Edition (Instructor Res. last of 2, Lectures) (2020)
- Introduction to Machine Learning, Fourth Edition (Instructor Res. n. 1 of 2, Solution Manual, Solutions, MATLAB) (2020)
- Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) (2020)
- Intro Machine Learn 2E (2009)
- Introduction to Machine cond Edition (2009)
- Introduction to Machine Learning (Adaptive Computation and Machine Learning series) (2009)
More by Ethem Alpaydin
Browse all works by Ethem Alpaydin
Similar books
- Deep Learning (Adaptive Computation and Machine Learning series) — Ian Goodfellow and Yoshua Bengio and Aaron Courville (2016)
- Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning Series) — edited by Lise Getoor, Ben Taskar (2007)
- Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series) — Pierre Baldi, Sà̧ren Brunak (2001)
- Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) — Sugiyama, Masashi & Kawanabe, Motoaki (2012)
- Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series) — Kevin P. Murphy (2022)
- Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) — Jacob Eisenstein (2019)
