Data Science

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.

"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.

Know more about your users with easy-to-implement and interpretable matrix and tensor factorization based representation learning!

Um texto introdutório à ciência de dados escrito em língua portuguesa.Usa uma base filosófica para alinhar abstrações matemáticas e aplicações com software. Aborda temas elementares e avançados.R, STAN, testes estatísticos, análise multivariada, inferência bayesiana, redes neurais e deep learning. Teorema do Lim. Central, MCMC, Gradient Descent

Snared the 'daydream' while it was a fresh

Lær hvordan du kan bruge Excel til at analysere data.Hvordan kan du arbejde med store datamængder i Excel.

Core ML is pretty easy to use — except when it doesn’t do what you want. The Core ML Survival Guide is packed with tips and tricks for solving the most common Core ML problems. Updated for iOS 14 and macOS 11.