Data Mining: Practical Machine Learning Tools and Techniques (4th Edition)

Download Data Mining: Practical Machine Learning Tools and Techniques (4th Edition) written by Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal in EPUB format. This book is under the category Computers and bearing the isbn/isbn13 number 128042915/9780128042915. You may reffer the table below for additional details of the book.

$19.99

SKU: 0e1ebad68af7 Category: Tag:

Specifications

book-author

Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal

publisher

Morgan Kaufmann; 4th edition

file-type

EPUB

pages

633 pages

language

English

asin

B01MG31RL3

isbn10

128042915

isbn13

9780128042915


Book Description

The Fourth Edition of Data Mining: Practical Machine Learning Tools and Techniques (PDF) provides a comprehensive introduction to the fundamentals of machine learning, as well as advice on how to put these concepts, tools, and techniques to use in data mining scenarios that are based in the real world. This highly anticipated fourth edition of the most highly regarded work on data mining and machine learning teaches readers everything they need to know to get started, from preparing inputs to interpreting outputs and evaluating results, as well as the algorithmic methods that are at the core of effective data mining approaches.

Extensive revisions highlight the advancements in methodology and technology that have taken place in the industry since the publication of the last edition. These revisions include important new chapters on probabilistic approaches and on deep learning. The well-known WEKA machine learning program, which was developed at the University of Waikato, has been updated, and it is included alongside the ebook. The authors Frank, Witten, Hall, and Pal blend current methodologies with cutting-edge research practices and include today’s techniques as part of this integration.

NOTE: This product only comes with the downloadable PDF version of the ebook “Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition.” There are no access codes contained within.

Reviews

There are no reviews yet.

Be the first to review “Data Mining: Practical Machine Learning Tools and Techniques (4th Edition)”

Recent Posts

Blogging And How You Can Get A Lot From It

Whether you’re just looking to type about a hobby you have or if you want to attempt to run a business, starting a blog might be worthy of your consideration. Before you get started, first take a few minutes to read these expert-provided tips below. Once you learn about blogging,…

5 tips for a good business blog

Follow my blog with BloglovinAre you also looking for a good structure for your business blogs? That you finally have a serious and good structure for all your texts that are online? On your website but also on social media. In this review you will find 5 tips from Susanna Florie from her…

Study tips from a budding engineer

“Why engineering?” is a question I get often. The answer for me is simple: I like to solve problems. Engineering is a popular field for many reasons. Perhaps this is because almost everything around us is created by engineers in one way or another, and there are always new, emerging and exciting technologies impacting…

How do I study mathematics and pass my exam?

Not sure how best to study math ? Are you perhaps someone who starts studying the day before the exam? Then you know yourself that your situation is not the most ideal. Unfortunately, there is no magic bullet to make you a maths crack or pass your exam in no time . It is important to know that mathematics always builds on…