Learn how to program the Internet of Things with this hands-on guide. By breaking down IoT... Læs mere
This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant... Læs mere
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.
With this practical book, Android developers will learn how to make the transition from Java to Kotlin, including how Kotlin provides a true advantage for gaining control over asynchronous computations
With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable... Læs mere
The Raspberry Pi is a credit card-sized computer that plugs into your TV and a keyboard. It is a capable little computer which can be used in electronics projects,... Læs mere
Make: Electronics teaches the fundamentals and also provides advice on the tools and supplies that are necessary. Component kits are available, specifically developed for the third edition.
With more than 150 color images, step-by-step instructions and detailed explanations, and a handy materials list of components and sources, this is the ultimate guide to explore the hidden universe of radio waves!
Give your organization data protection without the uncertainty and cost overruns experienced by your predecessors or other... Læs mere
In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.