With the strap line "101 true crime stories of people abusing and misusing data", this book starts from the premise that just because there’s data doesn’t necessarily mean it’s the right data or people are using it properly. Merrill Albert uses a series of anecdotes to loook at how data problems (data crimes) are caused by people treating data improperly, and what the impact of this is.

<ASIN:‎1634623479>

This book, subtitled "Fundamental Algorithms in MATLAB" provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. Peter Corke, Witold Jachimczyk and Remo Pillat write in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a cohesive narrative.

<ASIN:‎ 3031072618 >

This book is a guide to understanding and utilizing PyTorch 2.0 for deep learning applications. Matthew Rosch starts with an introduction to PyTorch, its various advantages over other deep learning frameworks, and its blend with CUDA for GPU acceleration. A substantial portion of the book is dedicated to illustrating how to build simple PyTorch models. This includes uploading and preparing datasets, defining the architecture, training, and predicting. It provides hands-on exercises with a real-world dataset. The book then dives into exploring PyTorch's nn module and gives a detailed comparison of different types of networks like Feedforward, RNN, GRU, CNN, and their combination.

<ASIN:8196288379>

In this book, which is in the "In Easy Steps" series of full-color books aimed at beginners, Mike McGrath shows hows how to create Windows applications using Visual Basic the latest Visual Studio Community programming environment. Now in its 7th edition, the book includes examples with free downloadable code, and is aimed at readers wanting to quickly understand Visual Basic fundamentals and master the key techniques.

<ASIN: 184078976X>

This book, subtitled "High-performance Scalable Solutions for Critical Data Workloads" shows how to deploy, configure, and monitor an Azure SQL Hyperscale database in a production environment. Zoran Barać and Daniel Scott-Raynsford begin by showing Hyperscale helps eliminate many of the problems of traditional high-availability and disaster recovery architecture. They then go on to look at how Hyperscale overcomes storage capacity limitations and issues with scale-up times and costs. The book also covers migrating current workloads from traditional architecture to Azure SQL Hyperscale.

<ASIN: 1484292243>

This book teaches the end-to-end skills needed to do data science and includes applications in R. Dr. Rohan Alexander says this means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. The book looks at how the communicate the results of statistical modelling, and also looks at ethics and reproducibility.

<ASIN:1032134771 >

This book asks whether advances in technology are working for us or against us. Robert Edward Grant and Michael Ashley team up to explore significant questions such as will self-driving cars help us maximize our time and get to our destination safely, or will they erode the autonomy and freedom we feel when we drive ourselves, and what happens if the government, in the name of public health, gains access to the data in our handy fitness trackers and uses it to reward or limit us.

<ASIN:1639080341>

This book, subtitled "Develop, deliver, discuss, design, and go again" is a hands-on guide to shipping Go-based software. Joel Holmes shows how to build and upgrade an automated software delivery pipeline that supports containerization, integration testing, semantic versioning, and automated deployment. He looks at how to put continuous delivery and continuous integration into action, with guidance on automating your team’s build and reacting with agility to customer demands.

<ASIN: 1617299502>

Subtitled "Advance your skills and write effective automated tests with Vitest, Playwright, and Cucumber.js", this book shows how to build robust and performant applications by developing SvelteKit applications using automated testing and TDD techniques, including unit and end-to-end testing, custom matchers, component mocking, and authentication. Daniel Irvine shows how to use the test-driven development (TDD) workflow, and covers the principles of unit testing with Vitest and end-to-end testing using Playwright and Cucumber.js.

<ASIN:1837638330 >

This book, subtitled "How Wi-Fi Became the World’s Most Beloved Technology" tells the international story of the people who created Wi-Fi, their early battles against skeptical opponents, and how it ultimately exploded across the globe to become synonymous with the internet itself—as told by one of Wi-Fi’s central figures. Greg Ennis tells of the techno/political conflicts at its birth, the battles against competing technologies as it was being nurtured, and the international diplomatic intrigue as it spread across the planet.

<ASIN:B0CCCS2G48>

Subtitled "63 techniques to improve your Python code", this book walks the reader through the most important coding techniques in Python. Dr. Yong Cui looks at techniques for data science, building web applications, and writing admin scripts among many other “how-to” questions and answers. In the book you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career.

<ASIN:161729974X>

In this 10th anniversary edition, updated with 50% new content for R 4.0.0 and beyond, Brett Lantz looks at what's needed for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. It features several new chapters that reflect the progress of machine learning in the last few years to help readers build their data science skills and tackle more challenging problems, including making successful machine learning models, advanced data preparation and making use of big data.

<ASIN:1801071322 >