Books

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.

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.

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

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.

You will study CT and X-ray scans, segment images, and analyze metadata. Even if you have not used with medical imaging before, you will have all the necessary skills upon completion of the book.

Table of Contents:Statistics and probability- DistributionSupervised machine learning- Binary classification- Regression- Singular Value Decomposition (SVD)- Logistic RegressionGradient DescentLoss measureData Science Interview QuestionsUsefull links and preparation repository

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) written in February 2010 - October 2010. This major revision contains corrections and WinDbg output color highlighting.

Este e-book vai te introduzir rapidamente às técnicas para encontrar fontes de dados e transformá-las em matérias jornalísticas através de um 'Roubo do Jornalismo de Dados'.