Bøker av Clinton Sheppard

As a Chinese language student, I always wanted a vocabulary reference that gave example sentences for common words. I never found what I wanted so over time I built one for myself.This book contains thousands of Chinese vocabulary words that students may encounter, with definitions and example sentences for each. It includes English and Chinese indexes with pinyin romanization. It includes many words and characters that you would encounter on HSK Level 1 and YCT Level 1-3 tests. The HSK and YCT are two well-known standardized tests of Chinese language proficiency.The English section gives you the ability to quickly find words for many of the things you might want to say, and provides example sentences for each, using only words that you can find elsewhere in this book. The Pinyin index includes many of the common words you may encounter while reading a variety of texts, with page numbers for the corresponding entry in the English section.For sample entries see the back cover or Look Inside on Amazon.com.

Get a hands-on introduction to machine learning with genetic algorithms using Python. Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques. The step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction.Souce code: https://github.com/handcraftsman/GeneticAlgorithmsWithPython