Category: Computer Science & Computer Engineering

Machine Learning for Time-Series with Python 0

Machine Learning for Time-Series with Python

eBook Details: Paperback: 371 pages Publisher: WOW! eBook (October 29, 2021) Language: English ISBN-10: 1801819629 ISBN-13: 978-1801819626 eBook Description: Machine Learning for Time-Series with Python: Become proficient in deriving insights from time-series data and analyzing a model’s performance Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making. This book covers Python basics for time-series and builds your understanding of...

Essential PySpark for Scalable Data Analytics 7

Essential PySpark for Scalable Data Analytics

eBook Details: Paperback: 322 pages Publisher: WOW! eBook (October 29, 2021) Language: English ISBN-10: 1800568878 ISBN-13: 978-1800568877 eBook Description: Essential PySpark for Scalable Data Analytics: Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark’s Python language API, which offers Python developers an easy-to-use scalable data analytics framework. Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You’ll begin...

Machine Learning with Amazon SageMaker Cookbook 7

Machine Learning with Amazon SageMaker Cookbook

eBook Details: Paperback: 762 pages Publisher: WOW! eBook (October 29, 2021) Language: English ISBN-10: 1800567030 ISBN-13: 978-1800567030 eBook Description: Machine Learning with Amazon SageMaker Cookbook: A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this Machine Learning with Amazon SageMaker Cookbook book, you’ll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the...

IBM Cloud Pak for Data 1

IBM Cloud Pak for Data

eBook Details: Paperback: 336 pages Publisher: WOW! eBook (November 24, 2021) Language: English ISBN-10: 1800562128 ISBN-13: 978-1800562127 eBook Description: IBM Cloud Pak for Data: Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Cloud Pak for Data is IBM’s modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary,...

Beginning Apache Spark 3 7

Beginning Apache Spark 3

eBook Details: Paperback: 456 pages Publisher: WOW! eBook; 2nd edition (October 23, 2021) Language: English ISBN-10: 1484273826 ISBN-13: 978-1484273821 eBook Description: Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library, 2nd Edition Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications. Beginning Apache Spark 3...