Cover 0

Introduction to Machine Learning

Introduction to Machine Learning

By
Ethem Alpaydin
Ethem Alpaydin
2004 • 584 pages

We don't have a description for this book yet. You can help out the author by adding a description.

Become a Librarian

Series

Featured Series

11 released books

Adaptive Computation and Machine Learning

Adaptive Computation and Machine Learning is a 11-book series first released in 1993 with contributions by Peter Spirtes, Clark Glymour, and Richard Scheines.

Bioinformatics: The Machine Learning Approach
Gaussian Processes for Machine Learning
Introduction to Statistical Relational Learning
Probabilistic Graphical Models: Principles and Techniques
Boosting: Foundations and Algorithms
Foundations of Machine Learning
Deep Learning
Probabilistic Machine Learning: An Introduction
Distributional Reinforcement Learning

Reviews

Popular Reviews

Reviews with the most likes.

There are no reviews for this book. Add yours and it'll show up right here!

Top Lists

See all (1)

List

9 books

Cs Machine Learning

piratefache
Michael
Digital Image Processing
A First Course in Machine Learning
Data Mining: Concepts and Techniques
Python Machine Learning
Machine Learning: A Probabilistic Perspective
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

List

17,813 books

My Library

Nitin
Nitin Rughoonauth
Fermi Remembered
Goedel's Way: Exploits into an undecidable world
Brave Genius: A Scientist, a Philosopher, and Their Daring Adventures from the French Resistance to the Nobel Prize
Debate en torno a la etica del discurso de Apel: Diálogo filosófico Norte-Sur desde América Latina
Love and math : the heart of hidden reality
The Road to Reality
The Large, the Small and the Human Mind

List

67 books

Ebooks

shatteringlass
Federico
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything
Blindness
The Road
Do Androids Dream of Electric Sheep?
Norwegian Wood
Choke
Portnoy's Complaint