{"product_id":"explainable-ai-for-practitioners-designing-and-implementing-explainable-ml-solutions-paperback","title":"Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions - Paperback","description":"\u003cp\u003eby \u003cb\u003eMichael Munn\u003c\/b\u003e (Author), \u003cb\u003eDavid Pitman\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMost intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does. \u003c\/p\u003e\u003cp\u003e Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow. \u003c\/p\u003e\u003cp\u003e This essential book provides: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA detailed look at some of the most useful and commonly used explainability techniques, highlighting pros and cons to help you choose the best tool for your needs \u003c\/li\u003e\n\u003cli\u003eTips and best practices for implementing these techniques \u003c\/li\u003e\n\u003cli\u003eA guide to interacting with explainability and how to avoid common pitfalls \u003c\/li\u003e\n\u003cli\u003eThe knowledge you need to incorporate explainability in your ML workflow to help build more robust ML systems \u003c\/li\u003e\n\u003cli\u003eAdvice about explainable AI techniques, including how to apply techniques to models that consume tabular, image, or text data \u003c\/li\u003e\n\u003cli\u003eExample implementation code in Python using well-known explainability libraries for models built in Keras and TensorFlow 2.0, PyTorch, and HuggingFace \u003c\/li\u003e\n\u003c\/ul\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 276\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.1 x 6.9 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 06, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42128065396871,"sku":"9781098119133","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/0c657dafc05d0983a5b6993e04a5abed.webp?v=1732592615","url":"https:\/\/booksby.splitshops.com\/products\/explainable-ai-for-practitioners-designing-and-implementing-explainable-ml-solutions-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}