{"product_id":"debugging-machine-learning-models-with-python-develop-high-performance-low-bias-and-explainable-machine-learning-and-deep-learning-models-paperback","title":"Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models - Paperback","description":"\u003cp\u003eby \u003cb\u003eAli Madani\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn how to improve performance of your models and eliminate model biases\u003c\/li\u003e\n\u003cli\u003eStrategically design your machine learning systems to minimize chances of failure in production\u003c\/li\u003e\n\u003cli\u003eDiscover advanced techniques to solve real-world challenges\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDebugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the expertise essential for building reliable, high-performance models for industrial applications. Whether you're a data scientist, analyst, machine learning engineer, or Python developer, this book will empower you to design modular systems for data preparation, accurately train and test models, and seamlessly integrate them into larger technologies.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy bridging the gap between theory and practice, you'll learn how to evaluate model performance, identify and address issues, and harness recent advancements in deep learning and generative modeling using PyTorch and scikit-learn. Your journey to developing high quality models in practice will also encompass causal and human-in-the-loop modeling and machine learning explainability. With hands-on examples and clear explanations, you'll develop the skills to deliver impactful solutions across domains such as healthcare, finance, and e-commerce.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEnhance data quality and eliminate data flaws\u003c\/li\u003e\n\u003cli\u003eEffectively assess and improve the performance of your models\u003c\/li\u003e\n\u003cli\u003eDevelop and optimize deep learning models with PyTorch\u003c\/li\u003e\n\u003cli\u003eMitigate biases to ensure fairness\u003c\/li\u003e\n\u003cli\u003eUnderstand explainability techniques to improve model qualities\u003c\/li\u003e\n\u003cli\u003eUse test-driven modeling for data processing and modeling improvement\u003c\/li\u003e\n\u003cli\u003eExplore techniques to bring reliable models to production\u003c\/li\u003e\n\u003cli\u003eDiscover the benefits of causal and human-in-the-loop modeling\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data scientists, analysts, machine learning engineers, Python developers, and students looking to build reliable, high-performance, and explainable machine learning models for production across diverse industrial applications. Fundamental Python skills are all you need to dive into the concepts and practical examples covered. Whether you're new to machine learning or an experienced practitioner, this book offers a breadth of knowledge and practical insights to elevate your modeling skills.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 344\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.72 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 15, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51750214369568,"sku":"9781800208582","price":74.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/2de88aa90b2bccfda2320acb4e83179b.webp?v=1779946059","url":"https:\/\/ebocreations.com\/products\/debugging-machine-learning-models-with-python-develop-high-performance-low-bias-and-explainable-machine-learning-and-deep-learning-models-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}