Next-Generation Machine Learning with Spark 
by Butch Quinto
Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark...
Price: $26.41 | Publisher: Apress | Release: 2020
Learn Microservices with Spring Boot, 2nd Edition
by Moises Macero
Build Java-based microservices architecture using the Spring Boot framework by evolving an application from a small monolith to an event-driven architecture composed of several services. This revised book follows an incremental approach in teaching the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centraliz...
Price: $37.40 | Publisher: Apress | Release: 2020
Building Machine Learning Powered Applications
by Emmanuel Ameisen
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers - including experienced practitioners and novices alike - will learn the tools, best practices, and challenges involv...
Price: $39.49 | Publisher: O'Reilly Media | Release: 2020
by Kevin Tatroe, Peter MacIntyre
Why is PHP the most widely used programming language on the web? This updated edition teaches everything you need to know to create effective web applications using the latest features in PHP 7.4. You'll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working know...
Price: $34.55 | Publisher: O'Reilly Media | Release: 2020
by Peter Elger, Eoin Shanaghy
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will b...
Price: $39.99 | Publisher: Manning | Release: 2020
Machine Learning with R, the tidyverse, and mlr
by Hefin I. Rhys
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like th...
Price: $39.99 | Publisher: Manning | Release: 2020
by Paolo Perrotta
Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add la...
Price: $39.99 | Publisher: The Pragmatic Programmers | Release: 2020
Write Great Code: Volume 1, 2nd Edition
by Randall Hyde
This, the first volume in Randall Hyde's Write Great Code series, dives into machine organization without the extra overhead of learning assembly language programming. Written for high-level language programmers, Understanding the Machine fills in the low-level details of machine organization that are often left out of computer science and engineering courses.Learn: How the machine represents numbers, ...
Price: $32.99 | Publisher: No Starch Press | Release: 2020
by Matthew Justice
How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet.But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game,...
Price: $25.49 | Publisher: No Starch Press | Release: 2020
Python Feature Engineering Cookbook
by Soledad Galli
Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you'll learn how to work with both continuous and discrete ...
Price: $31.83 | Publisher: Packt Publishing | Release: 2020