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![]() Free Download Machine Learning for Tabular dаta: XGBoost, Deep Learning, and AI by Mark Ryan English | 2025 | ISBN: 1633438546 | 734 Pages | EPUB | 37 MB ![]() Free Download Machine Learning for Neurodegenerative Disorders: Advancements and Applications English | 2025 | ISBN: 1032660937 | 252 Pages | PDF EPUB (True) | 25 MB This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. 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It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. ![]() Free Download Machine Learning Hero: Master Data Science with Python Essentials English | 2024 | ASIN : B0DJN1L1JC | 857 Pages | EPUB | 2 MB In a world driven by data, mastering machine learning is your key to unlocking new opportunities and solving complex problems. Whether you're a beginner or a professional looking to sharpen your skills, Machine Learning Hero: Master Data Science with Python Essentials is your guide to becoming proficient in machine learning and data science. ![]() Free Download Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation) by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb English | May 18, 2024 | ISBN: 9819920957 | 259 pages | MOBI | 30 Mb This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMâOAs amenable to application of ML for different pursuits. ![]() Free Download Machine Design Data Handbook (S.I. 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This book is a must read for students of education, history of education, and British history. |