{"product_id":"9781394294374","title":"Fundamentals of Robust Machine Learning Handling Outliers and Anomalies in Data Science","description":"\u003ch1\u003eFundamentals of Robust Machine Learning\u003c\/h1\u003e\u003ch2\u003eHandling Outliers and Anomalies in Data Science\u003c\/h2\u003e\u003ch3\u003eResve A. Saleh | Sohaib Majzoub | A. K. Md. Ehsanes Saleh\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Computer Science\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn essential guide for tackling outliers and anomalies in machine learning and data science.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming one of the key tools for data scientists. Robust machine learning is a new approach to handling outliers in datasets, which is an often-overlooked aspect of data science. Ignoring outliers can lead to bad business decisions, wrong medical diagnoses, reaching the wrong conclusions or incorrectly assessing feature importance, just to name a few. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eFundamentals of Robust Machine Learning\u003c\/i\u003e offers a thorough but accessible overview of this subject by focusing on how to properly handle outliers and anomalies in datasets. There are two main approaches described in the book: using outlier-tolerant ML tools, or removing outliers before using conventional tools. Balancing theoretical foundations with practical Python code, it provides all the necessary skills to enhance the accuracy, stability and reliability of ML models. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eFundamentals of Robust Machine Learning \u003c\/i\u003ereaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA blend of robust statistics and machine learning principles\u003c\/li\u003e\n\u003cli\u003eDetailed discussion of a wide range of robust machine learning methodologies, from robust clustering, regression and classification, to neural networks and anomaly detection\u003c\/li\u003e\n\u003cli\u003ePython code with immediate application to data science problems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eFundamentals of Robust Machine Learning\u003c\/i\u003e is ideal for undergraduate or graduate students in data science, machine learning, and related fields, as well as for professionals in the field looking to enhance their understanding of building models in the presence of outliers.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eResve Saleh, (PhD, UC Berkeley)\u003c\/b\u003e is a Professor Emeritus at the University of British Columbia. He worked for a decade as a professor at the University of Illinois and as a visiting professor at Stanford University. He was Founder and Chairman of Simplex Solutions, Inc., which went public in 2001. He is an IEEE Fellow and Fellow of the Canadian Academy of Engineering. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSohaib Majzoub, (PhD, University of British Columbia)\u003c\/b\u003e is an Associate Professor at the University of Sharjah, UAE. He also taught at the American University in Dubai, UAE and at King Saud University, KSA, and a visiting professor at Delft Technical University in The Netherlands. He is a Senior Member of the IEEE. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eA. K. MD. Ehsanes Saleh, (PhD, University of Western Ontario)\u003c\/b\u003e is a Professor Emeritus and Distinguished Professor in the School of Mathematics and Statistics, Carleton University, Ottawa, Canada. He also taught as Simon Fraser University, the University of Toronto, and Stanford University. He is a Fellow of IMS, ASA and an Honorary Member of SSC, Canada. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 May 2025\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394294374\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e416\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e29.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44384045203596,"sku":"9781394294374","price":101.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394294374_1c7b9c0f-8af0-46ac-9a21-ca12ce468002.jpg?v=1780101070","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394294374","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}