This book introduces you to why everyone’s talking about ChatGPT. Pam Baker explains how ChatGPT works and how it can help you at work, in school, and beyond. The book shows how to write prompts, and how to evaluate and use ChatGPT results, and demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it’s asked for.

<ASIN:1394204639>

Subtitled "Combating Malware, Data Exfiltration, and more", this book reveals how attackers exploit DNS and how cybersecurity professionals can proactively use DNS to turn the tables and mitigate those threats. Joshua M Kuo and Ross Gibson show how knowing how to use the protective capabilities of DNS can give you an unprecedented head start in stopping today’s advanced cyberthreats.

<ASIN:1960940015 >

Subtitled "How the pros use Python and Flask2, This friendly guide shows how the Python ecosystem fits together, and grounds the reader in the skills they need to continue their journey to being a software developer. Doug Farrell builds on Python skills you’ve learned in isolation and shows you how to unify them into a meaningful whole.

<ASIN: 1617297445>

This practical guide, subtitled "A Practical Guide to Analyzing Performance in SQL Server and Azure SQL Database" shows how to analyze and troubleshoot SQL Server performance using wait statistics. Thomas LaRock and Enrico van de Laar look at how to identify precisely why queries are running slowly, and how to measure the amount of time consumed by each bottleneck so you can focus attention on making the largest improvements first.

<ASIN:1484287703>

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>