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English | 2026 | ISBN: 3032093066 | 232 pages | True PDF | 16.07 MB
This open access book demonstrates how human biases affect the process of visual data analysis, a subject which has typically been left to researchers in cognitive and perceptual psychology and the social sciences. Human biases affect the way that people interpret and experience the world and how they operate within it and make decisions.
These can include cognitive biases such as confirmation or anchoring bias, perceptual biases including visual or auditory illusions, and implicit biases such as racial or gender bias that are often borne of harmful cultural norms and stereotypes.
In the context of visual data analysis, this book explores (1) what these biases are...
English | 2025 | ISBN: 8214000009 | 911 pages | True PDF | 31.96 MB
Peck and Olsen’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition helps you develop the ability to think statistically through its focus on conceptual understanding, use of real data and interpretation and communication of statistical information. G
raphical displays of complex data sets are now common both online and in print media, and it is important to be able to interpret these types of displays. The 7th edition contains a new section on graphical displays of multivariable data, with a focus on extracting information and learning from them.
WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do...
English | 2025 | ASIN: B0F2SG98Q9 | 878 Pages | True PDF | 65 MB
The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.
With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from...
English | 2026 | ISBN: 9798868820830 | 158 Pages | EPUB | 4.64 MB
Explore the convergence of deep learning and GPU technology. This book is a complete guide for those wishing to use GPUs to accelerate AI workflows.
The book is meant to make complex concepts understandable, with step-by-step instructions on how to set up and use GPUs in deep learning applications. Starting with an introduction to the fundamentals, you'll dive into progressive topics like Convolutional Neural Networks (CNNs) and sequence models, exploring how GPU optimization boosts performance. Further, you will learn the power of generative models, and take your skills by deploying AI models on edge devices. Finally, you will master the art of scaling and distributed...
English | 2025 | ISBN: 1394379609 | 354 pages | True PDF EPUB | 8.86 MB
An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligence
Agentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond to commands. They set goals, make decisions, and take initiative without direct human interaction. Sound like a lot to wrap your head around? FortunatelyAgentic AI For Dummies is here to help you gain understanding of this advancing technology.
Written by the author ofChatGPT For Dummies and Generative AI For Dummies, this easy-to-understand tech guide helps you take your first steps into Agentic AI. Get insight into the technologies driving Agentic AI, a road...
English | February 3rd, 2026 | ISBN: 1394378556 | 322 pages | True PDF | 17.08 MB
A handbook for professionals implementing or upgrading chatbots
In AI Chatbots For Dummies, chatbot expert Kelly Mirabella and veteran tech educator Eric Butow deliver a from-scratch guide to deploying AI-powered chatbots that keep your business' customers happy. The book offers step-by-step instructions to building your bot and putting it into use — even if you don't know how to code. You'll learn how to reduce your workload, improve your company's efficiency, increase customer satisfaction, and accomplish a ton of other useful business goals, like creating automated marketing campaigns and new sales strategies.
The authors walk you through exactly how...
English | April 25th, 2025 | ISBN: 1836647859 | 386 pages | True EPUB (Retail Copy) | 49.15 MB
Transform your professional world with ChatGPT and OpenAI master prompt design to revolutionize development, marketing, research, and enterprise implementation
Key Features
• Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding
• Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results
• Build custom GPTs and assistants tailored to your specific business needs and workflows
Book Description
Practical Generative AI with ChatGPT is your hands-on guide to unlocking the full potential of ChatGPT. From building AI assistants and mastering prompt engineering...
English | 2025 | ISBN: 9789819799145 | 261 pages | True PDF,EPUB | 53.88 MB
This book covers all aspects of machine learning (ML) from concepts and math to ML programming. ML concepts and the math associated with ML are written from an application perspective, rather than from a theoretical perspective. The book presents concepts and algorithms precisely as they are used in real-world applications, ensuring a seamless and practical understanding with no gap between theory and practice.
In a distinctive approach, the book's content is complemented by video lectures whose details can be found inside the book. This innovative approach offers readers a multimedia learning experience, accommodating different learning preferences, and...
English | 2025 | ISBN: 1633439917 | 520 pages | True EPUB | 19.13 MB
How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality.
In Causal AI you will learn how to
Build causal reinforcement learning algorithms
Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro
Compare and contrast statistical and econometric methods for causal inference
Set up algorithms for attribution, credit assignment, and...
English | 2025 | ISBN: 1718504209 | 669 Pages | True EPUB | 25.51MB
Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.
After a brief review of basic math and coding principles, you’ll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you’re a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you
How neural networks work and how they’re trained
How to use classical machine learning models
How to...
English | 2025 | ISBN: 1394341725 | 752 pages | True EPUB | 20.76 MB
A comprehensive roadmap to using AI in your career and in your life
Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do.
Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for...