Introduction to Machine Learning (Adaptive Computation and Machine Learning) Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:
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 field who are concerned with the application of machine learning methods.

After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning, Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning.

Introduction to Machine Learning (Adaptive Computation and Machine Learning) by Ethem Alpaydin

From reader reviews:

Michael Auten:

As people who live in the particular modest era should be change about what going on or data even knowledge to make these individuals keep up with the era that is certainly always change and make progress. Some of you maybe will update themselves by looking at books. It is a good choice to suit your needs but the problems coming to an individual is you don't know what kind you should start with. This Introduction to Machine Learning (Adaptive Computation and Machine Learning) is our recommendation to make you keep up with the world. Why, because book serves what you want and need in this era.

Charlene Rodriquez:

Do you considered one of people who can't read satisfying if the sentence chained inside the straightway, hold on guys this aren't like that. This Introduction to Machine Learning (Adaptive Computation and Machine Learning) book is readable simply by you who hate those perfect word style. You will find the details here are arrange for enjoyable examining experience without leaving also decrease the knowledge that want to provide to you. The writer associated with Introduction to Machine Learning (Adaptive Computation and Machine Learning) content conveys the idea easily to understand by lots of people. The printed and e-book are not different in the information but it just different such as it. So , do you nonetheless thinking Introduction to Machine Learning (Adaptive Computation and Machine Learning) is not loveable to be your top listing reading book?

Morris Sampson:

Hey guys, do you really wants to finds a new book to see? May be the book with the name Introduction to Machine Learning (Adaptive Computation and Machine Learning) suitable to you? The book was written by well-known writer in this era. Often the book untitled Introduction to Machine Learning (Adaptive Computation and Machine Learning)is a single of several books that everyone read now. This book was inspired many people in the world. When you read this e-book you will enter the new age that you ever know prior to. The author explained their idea in the simple way, so all of people can easily to understand the core of this book. This book will give you a large amount of information about this world now. So that you can see the represented of the world within this book.

Jonathan Baker:

Reading a publication tends to be new life style with this era globalization. With reading you can get a lot of information that can give you benefit in your life. Along with book everyone in this world can share their idea. Textbooks can also inspire a lot of people. A lot of author can inspire all their reader with their story as well as their experience. Not only the storyplot that share in the textbooks. But also they write about advantage about something that you need case in point. How to get the good score toefl, or how to teach your young ones, there are many kinds of book that exist now. The authors on earth always try to improve their proficiency in writing, they also doing some research before they write on their book. One of them is this Introduction to Machine Learning (Adaptive Computation and Machine Learning).