Books

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!

The second edition of Getting Started with Data Journalism - updated, with expanded sections, as well as new examples and exercises. This new edition brings the book up to date because, while the basic skills needed for data journalism have not changed, the tools and techniques have evolved since the first edition of this book was published.

General trace and log analysis patterns allow the application of uniform diagnostics and anomaly detection across diverse software environments. This pattern language covers any execution artifact from a small debugging trace to a distributed log with billions of messages from hundreds of computers, thousands of components, threads, and processes.

Learn to use R, the tidyverse collection of packages and functional programming concepts to write efficient and readable code.

Lots of pundits and researchers have ideas about how education data work should be done and who should do it. Many of their ideas are disseminated widely. This book covers the things those books do not: metadata, working with enterprise IT, data requests, politics, and why descriptive statistics can take you far.

Build Machine Learning models (especially Deep Neural Networks) that you can easily integrate with existing or new web apps. Think of your ReactJs, Vue, or Angular app enhanced with the power of Machine Learning models.

A primer on RStudio, Git, and GitHub.

The "Voice of Foreign Exchange™" is a series of 8 expert advisors reinventing the "Elliott Wave Theory" and other popular trading methods using modern communications formula. This is Volume I in the Expert Advisor Series. This book has the source code for 2 expert advisors and the Voice over Foreign Exchange™ (Vo4X) engine.

Want to know about data mining? This book will help you to do data mining using Weka and RapidMiner.

Fear of missing out on data science and machine learning?This ​eBook ​gives you a fun way to start learning data science with Python. ​It gives you a thorough introduction Python's most important library for data science: NumPy. 100% Based on puzzle-based learning - scientifically proven to generate ​44% better learning retention and ​efficiency.​

"What I cannot create, I do not understand" - Richard Feynman This book will guide you on your journey to deeper Machine Learning understanding by developing algorithms in Python from scratch! Learn why and when Machine learning is the right tool for the job and how to improve low performing models!

The interest of many young scientists in climate research is often cut short by the sometimes stressful experience of having to learn how to code. This book covers everything a student or young researcher needs to know covering climate data types and file formats, remote server login, the Unix command line, number crunching with CDO and Python Xarray/NumPy as well as how to create high-quality publishable plots.

If you want to learn about recommendation engines, and how it works then this book is for you. but if you want to build a recommendation engine and learn the approaches of it such machine learning techniques that predict user purchases and preferences then this book also for you.

Have you ever wanted to start a business in China? The book is an ideas library with detailed execution plans to help non-Chinese entrepreneurs start a business in China, within fields of coding, AI and Machine Learning, IoT, Internet, Consumer Products and Services, Investment, Fintech, Data Analytics, B2B and MarTech.