Category: Computer Science & Computer Engineering

Numerical C 0

Numerical C

eBook Details: Paperback: 312 pages Publisher: WOW! eBook; 1st edition (October 6, 2019) Language: English ISBN-10: 148425063X ISBN-13: 978-1484250631 eBook Description: Numerical C: Applied Computational Programming with Case Studies Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK. This book then...

Practical Data Science with SAP 1

Practical Data Science with SAP

eBook Details: Paperback: 332 pages Publisher: WOW! eBook; 1st edition (October 8, 2019) Language: English ISBN-10: 1492046442 ISBN-13: 978-1492046448 eBook Description: Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg...

Practical Automated Machine Learning on Azure 4

Practical Automated Machine Learning on Azure

eBook Details: Paperback: 198 pages Publisher: WOW! eBook; 1st edition (October 15, 2019) Language: English ISBN-10: 149205559X ISBN-13: 978-1492055594 eBook Description: Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how...

Machine Learning Pocket Reference 0

Machine Learning Pocket Reference

eBook Details: Paperback: 320 pages Publisher: WOW! eBook; 1st edition (September 17, 2019) Language: English ISBN-10: 1492047546 ISBN-13: 978-1492047544 eBook Description: Machine Learning Pocket Reference: Working with Structured Data in Python With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers...

Hands-On Generative Adversarial Networks with Keras 0

Hands-On Generative Adversarial Networks with Keras

eBook Details: Paperback: 272 pages Publisher: WOW! eBook (May 3, 2019) Language: English ISBN-10: 1789538203 ISBN-13: 978-1789538205 eBook Description: Hands-On Generative Adversarial Networks with Keras: Develop generative models for a variety of real-world use-cases and deploy them to production Generative Adversarial Networks (GANs) have revolutionized the fields of machine learning and deep learning. This...