
Machine Learning
Provides a comprehensive and unbiased introduction to almost all aspects of machine learning; Received a Chinese literature prize for its elegant presentation; The Chinese version has sold 200,000+ […]
Provides a comprehensive and unbiased introduction to almost all aspects of machine learning; Received a Chinese literature prize for its elegant presentation; The Chinese version has sold 200,000+ […]
An all-practical guide to the cryptography behind common tools and protocols that will help you make excellent security choices for your systems and applications.
Pandas in Action introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world.
Learn how Git works under the hood, how to set up your own repos, as well as how to deal with remote syncing.
As enterprise applications become larger and more distributed, new architectural approaches like reactive designs, microservices, and event streams are required knowledge. The Vert.x framework provides a mature, rock-solid toolkit for building reactive applications using Java, Kotlin, or Scala. Vert.x in Action teaches you to build responsive, resilient, and scalable JVM applications with Vert.x using well-established reactive design patterns.