If you want a basic understanding of computer vision's underlying theory and algorithms, this... Læs mere
Dan Tow outlines a timesaving method he has developed for finding the optimum execution plan -rapidly and systematically- regardless of the complexity of the SQL or the database platform... Læs mere
Google’s Site Reliability Engineering book ignited an industry discussion on what it means to run production services today. Now, Google... Læs mere
Learn about electricity while having fun! Lavishly illustrated with cartoons and drawings, this book guides the reader through six hands-on projects. Discover the electrical potential lurking in a stack of pennies - enough to light up an LED or power a calculator!
Today's synthetic biologists are in the early stages of engineering living cells to help treat diseases, sense toxic compounds in the environment, and produce valuable drugs. With this manual, you can be part of it.
This concise little book puts all of the essential information about Bash right at your fingertips. Updated for Bash version 4.4, this pocket reference has the answers to these and other problems in a format that makes browsing quick and easy.
Written by security experts and agile veterans, this book begins by introducing security principles to agile practitioners, and agile principles to security practitioners. The... Læs mere
Deep learning has already achieved remarkable results in many fields. Now it’s making waves... Læs mere
Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers.
Dive into Bitcoin technology with this hands-on guide from one of the leading teachers on Bitcoin and Bitcoin programming. Author Jimmy Song shows Python programmers and developers how to program a Bitcoin library from scratch.
Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques.