Books

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.

Everything you really need to know in Machine Learning in a hundred pages.

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.

See how data can help improve your business and the society at large. Understand the basics of Artificial Intelligence

Data analysis is the process of converting data into useful information. This book introduces data analysis applied to NBA daily fantasy sports (DFS) using the R programming language. You will learn how to wrangle and visualize data, build and test prediction models, and collect and import data from web-based sources.

"Help! I can't wrap my head around functions. I consistently find myself struggling to implement functions in a practical way." Even if you have no previous programming experience......if you're stuck trying to learn Python......this guide will explain functions to you. You will also learn how to use functions in a practical way.

Hello! Welcome to this guide to machine learning pipeline. If you want to get up-to-speed with some of the most data modeling techniques and gain experience using them to solve challenging problems, this is a good book for you!

Data Science is a growing field. Want to learn the popular java programming language and Stanford NLP to do text mining and Natural Language Processing, this is the book to grab.

The goal of the "Spreadsheet Adventures" series is to show you the friendly and lighthearted side of Excel. In this first book, “Coloring Fun with Conditional Formatting”, you will learn to create intricate patterns and elegant coloring schemes, as well as moving pictures and time-lapse videos.

This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.