WOW! eBook

Practical Data Science with SAP 1

Business & Management / Computer Science & Computer Engineering / Databases & Big Data

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 Foss and Paul Modderman show you how to use several data analysis tools to solve interesting problems with your SAP data. Throughout the Practical Data Science with SAP book, you’ll follow a fictional company as it tackles real scenarios. Use data to tell revealing stories about your customers Model purchase...

Practical Automated Machine Learning on Azure 4

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

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 to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Learn...

Learning CoreDNS 0

Cloud Computing / Networking & Server / Operating Systems

Learning CoreDNS

eBook Details: Paperback: 206 pages Publisher: WOW! eBook; 1st edition (September 24, 2019) Language: English ISBN-10: 1492047961 ISBN-13: 978-1492047964 eBook Description: Learning CoreDNS: Configuring DNS for Cloud Native Environments Until recently, Learning CoreDNS required reading the code or combing through the skimpy documentation on the website. No longer. With this practical book, developers and operators working with Docker or Linux containers will learn how to use this standard DNS server with Kubernetes. Dive into DNS theory: the DNS namespace, domain names, domains, and zones Learn how to configure your CoreDNS server Manage and serve basic and advanced zone data with CoreDNS Configure CoreDNS service...

Machine Learning Pocket Reference 0

Computer Science & Computer Engineering / Programming

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 a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing...

Hands-On Generative Adversarial Networks with Keras 0

Computer Science & Computer Engineering / Databases & Big Data

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 book will be your first step towards understanding GAN architectures and tackling the challenges involved in training them. This book opens with an introduction to deep learning and generative models, and their applications in artificial intelligence (AI). You will then learn how to build, evaluate, and improve your first GAN...