Skip to main content

Humanities, Social Science and Language


Digital Products


Connect®
Course managementreporting, and student learning tools backed by great support.

McGraw Hill GO
Greenlight learning with the new eBook+

ALEKS®
Personalize learning and assessment

ALEKS® Placement, Preparation, and Learning
Achieve accurate math placement

SIMnet
Ignite mastery of MS Office and IT skills

McGraw Hill eBook & ReadAnywhere App
Get learning that fits anytime, anywhere

Sharpen: Study App
A reliable study app for students

Virtual Labs
Flexible, realistic science simulations

AI Reader
Encourage Discovery, Boost Understanding

Services


Inclusive Access
Reduce costs and increase success

LMS Integration
Log in and sync up

Math Placement
Achieve accurate math placement

Content Collections powered by Create®
Curate and deliver your ideal content

Custom Courseware Solutions
Teach your course your way

Professional Services
Collaborate to optimize outcomes

Lecture Capture
Capture lectures for anytime access

Remote Proctoring
Validate online exams even offsite

Institutional Solutions
Increase engagement, lower costs, and improve access for your students

Evergreen
Updated, relevant materials—without the hassle.

Support


General Help & Support Info
Customer Service & Tech Support contact information

Online Technical Support Center
FAQs, articles, chat, email or phone support

Support At Every Step
Instructor tools, training and resources for ALEKS, Connect & SIMnet

Instructor Sample Requests
Get step by step instructions for requesting an evaluation, exam, or desk copy

Platform System Check
System status in real time

Applied Machine Learning
Applied Machine Learning

Applied Machine Learning, 1st Edition

ISBN10: 1260456846 | ISBN13: 9781260456844
By M. Gopal
© 2019

Format Options:

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Instructor Information

Quick Actions (Only for Validated Instructor Accounts):

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Cutting-edge machine learning principles, practices, and applications

This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed.

Coverage includes:

Supervised learning
Statistical learning
Learning with support vector machines (SVM)
Learning with neural networks (NN)
Fuzzy inference systems
Data clustering
Data transformations
Decision tree learning
Business intelligence
Data mining
And much more

About the Author

M. Gopal

Need support?   We're here to help - Get real-world support and resources every step of the way.