by Ted Hagos
Get started quickly with IntelliJ, from installation to configuration to working with the source code and more. This tutorial will show you how to leverage IntelliJ's tools to develop clean, efficient Java applications.Author Ted Hagos will first walk you through buidling your first Java applications using IntelliJ. Then, he'll show you how to analyze your application, top to bottom; using version...
Price: $36.02 | Publisher: Apress | Release: 2022
Modern Parallel Programming with C++ and Assembly Language
by Daniel Kusswurm
Learn the fundamentals of x86 Single instruction multiple data (SIMD) programming using C++ intrinsic functions and x86-64 assembly language. This book emphasizes x86 SIMD programming topics and technologies that are relevant to modern software development in applications which can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data s...
Price: $41.49 | Publisher: Apress | Release: 2022
by Gilit Saporta, Shoshana Maraney
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent frau...
Price: $44.72 | Publisher: O'Reilly Media | Release: 2022
Data Analysis with Python and PySpark 
by Jonathan Rioux
Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you've learned, and rapidly start implementing PySpark into your data sys...
Price: $45.07 | Publisher: Manning | Release: 2022
Machine Learning Engineering in Action
by Ben Wilson
Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks.Ben introduces his personal toolbox of techniques for building deployable and maintainable production mach...
Price: $50.92 | Publisher: Manning | Release: 2022
In-Memory Analytics with Apache Arrow 
by Matthew Topol
Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow's versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workfl...
Price: $44.99 | 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 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
Applying Math with Python, 2nd Edition
by Sam Morley
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX.You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's...
Price: $39.99 | Publisher: Packt Publishing | Release: 2022
by Tshepo Chris Nokeri
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures ...
Price: $39.99 | Publisher: Apress | Release: 2021