{"product_id":"practical-explainable-ai-using-python-artificial-intelligence-model-explanations-using-python-based-libraries-extensions-and-frameworks-9781484271575","title":"Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks","description":"Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.\u003cbr\u003eYou'll begin with an introduction to model explainability and interpretability basics, ethical consideration, and biases in predictions generated by AI models. Next, you'll look at methods and systems to interpret linear, non-linear, and time-series models used in AI. The book will also cover topics ranging from interpreting to understanding how an AI algorithm makes a decision \u003cp\u003e\u003c\/p\u003eFurther, you will learn the most complex ensemble models, explainability, and interpretability using frameworks such as Lime, SHAP, Skater, ELI5, etc. Moving forward, you will be introduced to model explainability for unstructured data, classification problems, and natural language processing-related tasks. Additionally, the book looks at counterfactual explanations for AI models. \u003ci\u003ePractical Explainable AI Using Python\u003c\/i\u003e shines the light on deep learning models, rule-based expert systems, and computer vision tasks using various XAI frameworks.\u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eReview the different ways of making an AI model interpretable and explainable\u003c\/li\u003e\n\u003cli\u003eExamine the biasness and good ethical practices of AI models\u003c\/li\u003e\n\u003cli\u003eQuantify, visualize, and estimate reliability of AI models\u003c\/li\u003e\n\u003cli\u003eDesign frameworks to unbox the black-box models\u003c\/li\u003e\n\u003cli\u003eAssess the fairness of AI models\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUnderstand the building blocks of trust in AI models\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIncrease the level of AI adoption\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eAI engineers, data scientists, and software developers involved in driving AI projects\/ AI products. \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/15\/2021\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484271575\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 344\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.39lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.75d","brand":"Pradeepta Mishra","offers":[{"title":"Default Title","offer_id":42389531263157,"sku":"9781484271575","price":59.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_34d2d294-2d0c-40b4-8bec-20e1010b9ee6.jpg?v=1663681843","url":"https:\/\/pastforward.org\/products\/practical-explainable-ai-using-python-artificial-intelligence-model-explanations-using-python-based-libraries-extensions-and-frameworks-9781484271575","provider":"Past Forward","version":"1.0","type":"link"}