Introduction to Machine Learning (Adaptive Computation and Machine Learning series) [Ethem Alpaydin] on *FREE* shipping on qualifying offers. Introduction to Machine Learning has ratings and 11 reviews. Rrrrrron said: Easy and straightforward read so far (page ). However I have a rounded. I think, this book is a great introduction to machine learning for people who do not have good mathematical or statistical background. Of course, I didn’t.
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Introduction to Machine Learning by Ethem Alpaydin
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Introduction to Machine Learning by Ethem Alpaydin. 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, a 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 learnnig data.
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.
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Machine Learning Textbook: Introduction to Machine Learning (Ethem ALPAYDIN)
Fatih I think the orange cover one is the first edition. You can see all editions from here. It is official page of author on university website. See 2 questions about Introduction to Machine Learning….
Lists with This Book. Easy and straightforward read so far page However I have a rounded programming background and have already taken numerous graduate courses in math including optimization, probability and measure theory. So it is a good statement of the types of problem we like to solve, with intuitive examples, and the character of the solutions that classes of techniques will yield. In this sense, it can be a quick read and good overview – and enough discussion surrounding the derivations so that they ar Easy and straightforward read so far page In this sense, it can be a quick read and good overview – and enough discussion surrounding the derivations so that they are fairly easy to follow.
Dec 17, John Norman rated it really liked it. Apr 23, Leonardo marked it as to-read-in-part Shelves: For a general introduction to machine learning, we recommend Alpaydin, Sep 15, Rodrigo Rivera rated it really liked it. Very decent introductory book. It gives a very broad overview of the different algorithms and methodologies available in the ML field. Each chapter reads almost independently.
It is similar to the Mitchell book but more recent and slightly more math intensive. Feb 06, Herman Slatman rated it liked it. Little bit hard to get through, but otherwise quite good as an introductory book.
You will want to look up stuff after reading bt before applying it though. Oct 13, Karidiprashanth rated it really liked it. Very good for starting.
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