Key Features
A practical guide to writing effective, organized, and clean code that works well
Learn test-driven principles to help you build better-designed apps with fewer bugs
A comprehensive overview of the techniques available for TDD in...
Statistics is Important Statistics is important to machine learning practitioners.
- Statistics is a prerequisite in most courses and books on applied machine learning.
- Statistical methods are used at each step in an applied machine learning...
Core Data best practices by example: from simple persistency to multithreading and syncing
This book strives to give you clear guidelines for how to get the most out of Core Data while avoiding the pitfalls of this flexible and powerful framework....