Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorialKey Features\[\] Process and analyze big data in a distributed and scalable way\[\] Write sophisticated Spark pipelines that incorporate elaborate extraction\[\] Build and use regression models to predict flight delaysBook DescriptionThe purpose of machine learning is to build systems that learn ...

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book...

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications wit...

SummaryDeep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.Foreword by Thore Graepel, DeepMindAbout the TechnologyThe ancient strategy game of Go is an incredible case study for AI. In 2016...

The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should knowPrinceton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to co...

System developers have used modeling languages for decades to specify, visualize, construct, and document systems. The Unified Modeling Language (UML) is one of those languages. UML makes it possible for team members to collaborate by providing a common language that applies to a multitude of different systems. Essentially, it enables you to communicate solutions in a consistent, tool-supported language.Today, UML has become the standard method for modeling software systems, which ...

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...

Exam Board: AQALevel: AS/A-levelSubject: Computer ScienceFirst Teaching: September 2015First Exam: June 2016This title has been approved by AQA for use with the AS and A-level AQA Computer Science specifications.AQA A-level Computer Science gives students the chance to think creatively and progress through the AQA AS and A-level Computer Science ...

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Py...

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed ...

A complete primer for the technical programming interview. This book reviews the fundamentals of computer programming through programming problems posed to candidates at Amazon, Apple, Facebook, Google, Microsoft, and others. Complete solutions to every programming problem is provided in clear explanations and easy to read C++11 code.If you are learning to code then this book provides a great introduction to C++11 and fundamental data structures and algorithms. If you are preparing...

Self contained with problems completely worked out in clear, readable C++11, Volume II covers a wide swatch of advanced programming techniques. The sections range from specialized procedures for bit manipulation, numerical analysis, subsequence problems, and random algorithms. Each chapter gives an in excellent coverage of the topics by providing a wide array of problems and solutions. For both beginning programmers and senior engineers, this book is sure to provide you with more valuable ...