Login       My Wishlist
  My Cart
$0.00 / 0 items
 
EMS Linux
Utilizing the Best Tools With Linux
 
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Algorithms   Genetic

An Introduction to Machine Learning


Super Savings Item! Free Shipping Included! Save 36% on the An Introduction to Machine Learning by Springer at EMS Linux. MPN: 48503576. Hurry! Limited time offer. Offer valid only while supplies last. This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward


Product Description

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.

This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.

Additional Information

Manufacturer:Springer
Part Number:48503576
Publisher:Springer
Studio:Springer
MPN:48503576
EAN:9783319639123
Item Size:0.81 x 9.21 x 9.21 inches
Package Weight:1.5 pounds
Package Size:6.1 x 0.98 x 0.98 inches

An Introduction to Machine Learning by Springer

Buy Now:
An Introduction to Machine Learning

Brand: Springer
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
$79.99
$51.94
You Save: 35%


Quantity:  

 


View More In Genetic.

 


Have questions about this item, or would like to inquire about a custom or bulk order?


If you have any questions about this product by Springer, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers


ean: 9783319905112, isbn: 3319905112,
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of...

mpn: 33 black & white illustrations, biograph, ean: 9781484203293, isbn: 1484203291,
Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implemen...

ean: 9781107078536, isbn: 1107078539,
High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the...

mpn: 55 black & white illustrations, 12 colou, ean: 9783662448731, isbn: 3662448734,
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on ...

ean: 9780262631853, isbn: 0262631857,
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting...

ean: 9781540324009, isbn: 1540324001,
 Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work fo...

ean: 9781439860915, isbn: 1439860912,
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning ...

mpn: 9780465032716, ean: 9780465032716, isbn: 0465032710,
From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns.How does life prosper in a complex and erratic world? While we know that nature follows patterns—such as the law of gravity...

mpn: 9780387258836, ean: 9780387258836, isbn: 0387258833,
Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in ...

mpn: 9780815340249, ean: 9780815340249, isbn: 0815340249,
Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an ...



Privacy Policy / Terms of Service
© 2018 - emslinux.com. All Rights Reserved.