Machine Learning with PyTorch and Scikit-Learn 
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teac...
Price: $40.00 | Publisher: Packt Publishing | Release: 2022
Machine Learning on Kubernetes
by Faisal Masood, Ross Brigoli
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization.You'll begin by understanding ...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
Machine Learning Engineering on AWS
by Joshua Arvin Lat
There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various dat...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
Machine Learning for Streaming Data with Python
by Joos Korstanje
Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapting machine learning and other analytics to the case of streaming data...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
by Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model...
Price: $43.99 | Publisher: O'Reilly Media | Release: 2022
Designing Machine Learning Systems
by Chip Huyen
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments ...
Price: $19.50 | Publisher: O'Reilly Media | Release: 2022
Azure AI Services at Scale for Cloud, Mobile, and Edge 
by Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications f...
Price: $45.38 | Publisher: O'Reilly Media | Release: 2022
Data Science on the Google Cloud Platform, 2nd Edition
by Valliappa Lakshmanan
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.Throughout this updated second edition, you'll work through a sample business decision by employing a variety ...
Price: $53.26 | Publisher: O'Reilly Media | Release: 2022
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
by Aurelien Geron
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help yo...
Price: $42.80 | Publisher: O'Reilly Media | Release: 2022
Machine Learning with PySpark, 2nd Edition
by Pramod Singh
Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems.Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectr...
Price: $49.05 | Publisher: Apress | Release: 2022