Data Science

Unlock the world of Big Data with Enterprise Big Data Professional—your gateway to mastering the essential techniques and concepts driving today’s data revolution. This indispensable guide not only provides a thorough introduction to the core principles of Big Data but also serves as the official study resource for the APMG International certification program. Whether you're an aspiring data engineer or a seasoned professional looking to solidify your expertise, this book equips you with the knowledge and preparation needed to excel in the certification exam and advance your career. Dive in and transform your understanding of Big Data into actionable skills with this authoritative and insightful guide.

¿Estás buscando un libro con el que puedas aprender sobre aprendizaje profundo y PyTorch sin tener que pasar horas descifrando texto y código críptico? ¿Un libro técnico que sea también legible y entretenido? ¡Aquí lo tienes!

Creating More Effective Graphs shows how to choose clear, accurate, effective graphs to make it easier to understand the data. It also shows how to avoid misleading and deceptive graphs. Some of the graph forms recommended are dot plots and trellis graphics (also called lattice plots and faceted plots). It contains examples of good and bad graphs.

D3 Start to Finish shows you how to build a custom, interactive and beautiful data visualisation using the JavaScript library D3.js (versions 6 & 7). The book covers D3.js concepts such as selections, joins, requests, scale functions, events & transitions. You'll put these concepts into practice by building a custom, interactive data visualisation.

Learn the fundamentals of HTML, SVG, CSS and JavaScript for building data visualisations on the web. Ideal if you're wanting to learn D3.js or you use Python and/or R and wish to get started with HTML, SVG, CSS and JavaScript. Straight to the point with lots of code examples.

Zefs Guide to Deep Learning Flashcards is a set of digital flashcards that accompany the book Zefs Guide to Deep Learning. Anyone wanting to improve their knowledge of the key concepts in machine learning and deep learning will benefit from studying with these flashcards, whether to land that dream AI job or ace their machine learning exams.

If you are an independent learner or an instructor for a data science, statistics, or public health course, check out the open case studies project (www.opencasestudies.org) and this guide which will describe the variety of ways our case studies can be used for hands-on data science activities.

The underlying goal of "Machine Learning Simplified" is to develop strong intuition into inner workings of ML. We use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics "behind the scenes".

This book provides a guided tour along the wide range of ML methods that have proven useful in process industry. Step-by-step instructions, supported with real process datasets, show how to develop ML-based solutions for process monitoring, predictive maintenance, fault diagnosis, soft sensing, and process control. Also available at Google Play.

Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!

Selected modern machine learning techniques and the intuition behind them. Methods are supplemented by code snippets with examples in R language. The process is shown through a comic book describing the adventures of two characters, Beta and Bit.  See the flipbook version at https://betaandbit.github.io/RML/

All the statistical foundations you need to understand and use machine learning! It includes R/Pyhton software and Shiny dashboards to illustrate the most important concepts numerically.

The book is for data monetization purposes, helps you to build bridge between IT department and business design to maximise data driven value creation. Data productizement and servitization are explained with real-world example case stories. This book is primarily for data business developers and contains just bare minimum of technical terms. 

Six data analysts across the country have teamed up for a new volume for the EDDR series. Following the success of the first volume, this new book covers how to document work, navigate data governance, ensure transparency and reproducibility in analysis; how early warning systems work; and how awareness of identities shaping the work is critical.