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Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python 0.87

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.

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.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.13

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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.64

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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.29

Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models 1.3

In What Is Thought? Eric Baum proposes a computational explanation of thought. Just as Erwin Schrodinger in his classic 1944 work What Is Life? argued ten years before the discovery of DNA that life must be explainable at a fundamental level by physics and chemistry, Baum contends that the present-day inability of computer science to explain thought and meaning is no reason to doubt there can be such an explanation. Baum argues that the complexity of mind is the outcome of evolution, which has built thought processes that act unlike the standard algorithms of computer science and that to understand the mind we need to understand these thought processes and the evolutionary process that produced them in computational terms.Baum proposes that underlying mind is a complex but compact program that corresponds to the underlying structure of the world. He argues further that the mind is essentially programmed by DNA. We learn more rapidly than computer scientists have so far been able to explain because the DNA code has programmed the mind to deal only with meaningful possibilities. Thus the mind understands by exploiting semantics, or meaning, for the purposes of computation; constraints are built in so that although there are myriad possibilities, only a few make sense. Evolution discovered corresponding subroutines or shortcuts to speed up its processes and to construct creatures whose survival depends on making the right choice quickly. Baum argues that the structure and nature of thought, meaning, sensation, and consciousness therefore arise naturally from the evolution of programs that exploit the compact structure of the world.

“I am greatly relieved that the universe is finally explainable. I was beginning to think it was me.”–Woody AllenHere, in his first collection since his three hilarious classics Getting Even, Without Feathers, and Side Effects, Woody Allen has managed to write a book that not only answers the most profound questions of human existence but is the perfect size to place under any short table leg to prevent wobbling.“I awoke Friday, and because the universe is expanding it took me longer than usual to find my robe,” he explains in a piece on physics called “Strung Out.” In other flights of inspirational sanity we are introduced to a cast of characters only Allen could imagine: Jasper Nutmeat, Flanders Mealworm, and the independent film mogul E. Coli Biggs, just to name a few. Whether he is writing about art, sex, food, or crime (“Pugh has been a policeman as far back as he can remember. His father was a notorious bank robber, and the only way Pugh could get to spend time with him was to apprehend him”) he is explosively funny.In “This Nib for Hire,” a Hollywood bigwig comes across an author’s book in a little country store and describes it in a way that aptly captures this magnificent volume: “Actually,” the producer says, “I’d never seen a book remaindered in the kindling section before.”

This book reconstructs Spinoza's theory of the human mind against the backdrop of the twofold notion that subjective experience is explainable and that its successful explanation is of ethical relevance, because it makes us wiser, freer, and happier. Doing so, the book defends a realist rationalist interpretation of Spinoza's approach which does not entail commitment to an ontological reduction of subjective experience to mere intelligibility. In contrast to a long-standing tradition of Hegelian reading of Spinoza's Ethics, it thus defends the notion that the experience of finite subjects is fully real.

People who are in trouble must discern the source of the problem—a correct assessment of the problem’s origins is the first step toward responding well and resolving the situation. Is the issue explainable by natural causes? If not, it is likely that the believer is under spiritual attack. The Believer’s Guide to Spiritual Warfare is a practical guide to overcoming the forces of the world, the flesh and the devil that come against believers’ personal lives, families, vocations and ministries. The Holy Spirit is ready and willing to free Christians from spiritual attack, and this essential handbook will help readers access that power. They will learn to discern the source of an attack, to free themselves and others from spiritual bondage, and to pray effectively to protect their home, business, church and ministry from the forces of evil. The Believer’s Guide to Spiritual Warfare goes beyond theory to equip believers with simple, effective tools and techniques for winning victory.

FOR USE IN SCHOOLS AND LIBRARIES ONLY. The story of a young boy's quest to discover the source of a mysterious cry at the top of a rocky mountain. Despite evidence that the sound is explainable, the townsfolk still believe it is the moaning of a monster, the Megramum.