Explainable Ai Recipes
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Explainable Ai Recipes
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Author : Pradeepta Mishra
language : en
Publisher:
Release Date : 2023
Explainable Ai Recipes written by Pradeepta Mishra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution, and activation attribution. After reading this book, you will understand AI and machine learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses. You will: Create code snippets and explain machine learning models using Python Leverage deep learning models using the latest code with agile implementations Build, train, and explain neural network models designed to scale Understand the different variants of neural network models.
High Temperature Superconducting Compounds
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Author : Sung-Hyun Whang
language : en
Publisher:
Release Date : 1989
High Temperature Superconducting Compounds written by Sung-Hyun Whang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Technology & Engineering categories.
Explainable Ai Interpreting Explaining And Visualizing Deep Learning
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Author : Wojciech Samek
language : en
Publisher: Springer Nature
Release Date : 2019-09-10
Explainable Ai Interpreting Explaining And Visualizing Deep Learning written by Wojciech Samek and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Explainable Ai For Beginners
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Author : Venugopala Ps
language : en
Publisher: Independently Published
Release Date : 2025-12-22
Explainable Ai For Beginners written by Venugopala Ps and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-22 with Computers categories.
Explainable AI (XAI) has rapidly emerged as one of the most essential areas in modern artificial intelligence, bridging the gap between powerful machine-learning models and the human need for clarity, trust, and accountability. As AI systems increasingly influence decisions in healthcare, finance, education, and everyday digital interactions, the ability to understand why a model behaves a certain way has become just as important as its accuracy. This book, Explainable AI for Beginners, is designed to offer a clear, structured, and beginner-friendly introduction to the concepts, methods, and practical tools that make AI interpretable. Whether you're a student stepping into the world of machine learning, a professional looking to demystify complex models, or an enthusiast curious about how AI "thinks," this book aims to be your accessible starting point. Each chapter builds from foundational ideas to hands-on techniques used in real-world applications. You will explore interpretable models, post-hoc explanation frameworks such as LIME and SHAP, and methods that bring transparency to deep learning systems. Beyond technical methods, this book emphasizes human-centered evaluation, ethical considerations, and future trends that are shaping the XAI landscape. The final capstone projects, including an explainable loan-approval assistant and an occlusion sensitivity experiment on synthetic MRI data, provide practical, end-to-end experience applying XAI principles. By the end, you will not only understand how to build explainable models but also why explainability is vital for creating accountable, trustworthy AI systems.
Python Natural Language Processing Cookbook
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Author : Zhenya Antić
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-13
Python Natural Language Processing Cookbook written by Zhenya Antić and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Computers categories.
Updated to include three new chapters on transformers, natural language understanding (NLU) with explainable AI, and dabbling with popular LLMs from Hugging Face and OpenAI Key Features Leverage ready-to-use recipes with the latest LLMs, including Mistral, Llama, and OpenAI models Use LLM-powered agents for custom tasks and real-world interactions Gain practical, in-depth knowledge of transformers and their role in implementing various NLP tasks with open-source and advanced LLMs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionHarness the power of Natural Language Processing (NLP) to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess. You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK. You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs. This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust in your NLP models. By the end of this book, you'll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.What you will learn Understand fundamental NLP concepts along with their applications using examples in Python Classify text quickly and accurately with rule-based and supervised methods Train NER models and perform sentiment analysis to identify entities and emotions in text Explore topic modeling and text visualization to reveal themes and relationships within text Leverage Hugging Face and OpenAI LLMs to perform advanced NLP tasks Use question-answering techniques to handle both open and closed domains Apply XAI techniques to better understand your model predictions Who this book is for This updated edition of the Python Natural Language Processing Cookbook is for data scientists, machine learning engineers, and developers with a background in Python. Whether you’re looking to learn NLP techniques, extract valuable insights from textual data, or create foundational applications, this book will equip you with basic to intermediate skills. No prior NLP knowledge is necessary to get started. All you need is familiarity with basic programming principles. For seasoned developers, the updated sections offer the latest on transformers, explainable AI, and Generative AI with LLMs.
Explainable Ai For Beginners
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Author : Amara Hawthorn
language : en
Publisher: Independently Published
Release Date : 2025-08-29
Explainable Ai For Beginners written by Amara Hawthorn and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.
In an age where machine learning makes decisions about healthcare, finance, hiring, and justice, transparency matters more than ever. Explainable AI for Beginners is your friendly, step-by-step guide to building AI models that are not just accurate, but also clear, interpretable, and trustworthy. Written in plain English, this book cuts through the jargon to show you how to: Understand the fundamentals of Explainable AI (XAI) and why it's essential for fairness, safety, and accountability. Build simple, interpretable models using decision trees, linear models, and rule-based systems. Use practical XAI techniques-like SHAP values, LIME, and feature importance-to open the "black box" of complex models. Balance accuracy and interpretability so you can make informed trade-offs in real projects. Communicate insights clearly to non-technical stakeholders, regulators, and clients. Through relatable examples and hands-on exercises, you'll learn how to design AI systems that you-and others-can understand and trust. No advanced math or coding background required-just curiosity and the desire to build ethical, responsible AI. If you've ever wanted to peek inside the mind of an algorithm, or make machine learning less mysterious, this is the book for you.
Towards Explainable Fuzzy Ai Concepts Paradigms Tools And Techniques
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Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date : 2022-09-16
Towards Explainable Fuzzy Ai Concepts Paradigms Tools And Techniques written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.
Modern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI.
A Dash Of Ai
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Author : Mike Wisniewski
language : en
Publisher:
Release Date : 2023-05-31
A Dash Of Ai written by Mike Wisniewski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with categories.
Introducing A Dash of AI, a coffee table cookbook that is both a recipe guide and a conversation starter. With the power of generative AI, A Dash of AI showcases how artificial intelligence can enhance the culinary world, and open up new possibilities for creativity in the kitchen.This cookbook is not your average cookbook. Every single image of the mouth-watering dishes has been generated by AI using Stable Diffusion and other image generation models. And the text? It was written entirely by ChatGPT with some light human commentary. The result is a beautiful and unique book that is a true testament to the capabilities of modern technology.But A Dash of AI is not just about stunning visuals. It's a bridge to understanding the power of generative AI and the endless possibilities it offers. It sparks discussion about the potential impact of AI on our daily lives and how it can be used to improve our experiences. It's a fascinating glimpse into the future of technology and its role in enhancing creativity.And let's not forget the recipes. A Dash of AI is packed with delicious dishes from the mind of ChatGPT. From the Cider Braised Pork Shoulder to the Pineapple Sage Martini, each recipe is sure to tantalize your taste buds. What really sets A Dash of AI apart is its ability to spark conversation and inspire curiosity. It's a book that encourages exploration and innovation, and it's a must-have for anyone interested in the intersection of technology and culinary arts.In short, A Dash of AI is not just a cookbook - it's a conversation starter, a work of art, and a glimpse into the future. So why not add it to your coffee table and see where the conversation takes you?
A Recipe For Ai
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Author : Ian Beardsley
language : en
Publisher: Lulu.com
Release Date : 2017-10-02
A Recipe For Ai written by Ian Beardsley and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-02 with Computers categories.
The author outlines his discovery of naturally occurring structure in artificial intelligence (AI).
Explainable Ai
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Author : Preethi Nanjundan
language : en
Publisher: Wiley-Scrivener
Release Date : 2026-11-03
Explainable Ai written by Preethi Nanjundan and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-11-03 with Computers categories.