Bøger af Clinton Sheppard

This book contains 50 fables in German and English in a parallel reading format. The words are cross linked and indexed. The stories are short and on a variety of topics, often with humorous or cautionary endings.

Get a hands-on introduction to building and using decision trees and random forests. Tree-based machine learning algorithms are used to categorize data based on known outcomes in order to facilitate predicting outcomes in new situations. You will learn not only how to use decision trees and random forests for classification and regression, and some of their respective limitations, but also how the algorithms that build them work. Each chapter introduces a new data concern and then walks you through modifying the code, thus building the engine just-in-time. Along the way you will gain experience making decision trees and random forests work for you. This book uses Python, an easy to read programming language, as a medium for teaching you how these algorithms work, but it isn't about teaching you Python, or about using pre-built machine learning libraries specific to Python. It is about teaching you how some of the algorithms inside those kinds of libraries work and why we might use them, and gives you hands-on experience that you can take back to your favorite programming environment.Table of Contents: A brief introduction to decision treesChapter 1: Branching - uses a greedy algorithm to build a decision tree from data that can be partitioned on a single attribute.Chapter 2: Multiple Branches - examines several ways to partition data in order to generate multi-level decision trees.Chapter 3: Continuous Attributes - adds the ability to partition numeric attributes using greater-than.Chapter 4: Pruning - explore ways of reducing the amount of error encoded in the tree.Chapter 5: Random Forests - introduces ensemble learning and feature engineering.Chapter 6: Regression Trees - investigates numeric predictions, like age, price, and miles per gallon.Chapter 7: Boosting - adjusts the voting power of the randomly selected decision trees in the random forest in order to improve its ability to predict outcomes.

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.

This second book grows the total number of essential Chinese characters you know to more than 200 with lessons that build your vocabulary one character at a time and include more than 1,700 bilingual practice sentences and phrases.The characters in this book were selected to expose you to a variety of grammar patterns and common words. In order to help you learn to decompose and recognize characters, the stroke order, traditional (long) form if any, meaning, and components of each new character are introduced first. The lessons also contain activities to help you remember characters and vocabulary through periodic repetition, as well as reading comprehension exercises.This book adds supplemental vocabulary sections that provide a just-in-time review of characters and combinations introduced in book 1, as well as new combinations of those characters, that are used in the practice sentences.When you finish this book you will know a little more than 45 percent of the characters you will encounter in any given text on average. Look inside to see the some of the characters and vocabulary covered in this book.

This book grows the total number of essential Chinese characters you know to more than 300 with lessons that build your vocabulary one character at a time and include more than 1,700 bilingual practice sentences and phrases.The characters in this book were selected to expose you to a variety of grammar patterns and common words. In order to help you learn to decompose and recognize characters, the stroke order, traditional (long) form if any, meaning, and components of each new character are introduced first. The lessons also contain activities to help you remember characters and vocabulary through periodic repetition, as well as reading comprehension exercises.When you finish this book you will know a little more than 55 percent of the characters you will encounter in any given text on average.

Learn to read more than 100 essential Chinese characters with lessons that build your vocabulary one character at a time and include hundreds of practice sentences and phrases. The characters in this book were selected to expose you to a variety of grammar patterns and common words. Your grammar intuition will quickly grow from simple phrases to sentences.For example: 一 one 一个。 One (of something) 一个人。 One person. 一个小人。 A/One small person. 十一个小人。 Eleven small people. 十一个小女人。 Eleven small women. 十一个女人很小。 Eleven women are very small.二十一个女人很小。 Twenty-one women are very small. And so on.In order to help you learn to decompose and recognize characters, the stroke order, traditional (long) form if any, meaning, and components of each new character are introduced first. The lessons also contain activities to help you remember characters and vocabulary through periodic repetition, as well as reading comprehension exercises.When you finish this book you will know a little more than 28 percent of the characters you will encounter in any given text on average.

The exercises in this book will help you master more than 100 Chinese characters (and more than200 words) including those that you would need to know in order to achieve level 1 proficiency on the 中小学生汉语考试 (YCT), a test of Chinese language skills for elementary and middle school students whose first language is not Chinese.The lessons build your vocabulary one character at a time and include practice sentences and phrases that use a variety of grammar patterns. For example: 一 one 一个。 One (of something) 一个人。 One person. 一个小人。 A/One small person. 十一个小人。 Eleven small people. 十一个小女人。 Eleven small women. 十一个女人很小。 Eleven women are very small.二十一个女人很小。 Twenty-one women are very small. And so on.As each new character is introduced you will be shown how it is written (the stroke order), the traditional (long) form if any, and the separable components of that character. This will help you learn to decompose, recognize, and remember the characters. Finally, the activity sections and reading comprehension exercises will help you remember the meanings of the characters and vocabulary through spaced repetition. When you finish this book you will know a little more than 26 percent of the characters you will encounter in any given text on average.

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