Books

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 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.

You'll be able to create basic pivot tables and charts, increase your productivity, and produce reports in minutes instead of hours. Within the first 3 chapters, you will be able to output complex pivot reports with drill-down capabilities accompanying charts. By the end of the book, you will be able to build a dynamic pivot table reporting system.

It is widely agreed that close to 60 percent of Excel users leave 80 percent of Excel untouched. That is, most users do not tap into the full potential of Excel’s built-in utilities. Of these utilities, one of the most prolific by far is the Excel Vlookup. Vlookup remains one of the most underutilized tools in the entire Microsoft Office Suite.

The 14 chapters of this book and its videos serve as an exhaustive collection of quick tutorials on Excel shortcuts, tips and tricks. This Excel guide and its short video tutorials are a life safer! Now you can learn how to use Excel more efficiently with many useful tips and tricks.