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Free Download Machine Learning and Data Analysis in Soft Matter Physics
English | 2024 | ISBN: 168251997X | 288 Pages | PDF (True) | 18 MB
Machine learning and data analysis techniques have found their place in soft matter physics, aiding in the understanding of complex molecular systems, self-assembly, and materials design. These tools facilitate the analysis of large-scale molecular simulations and experimental data, providing insights into the behavior and properties of soft materials. This book examines the application of machine learning and data analysis techniques in studying soft matter physics and its complex behavior.

Free Download Machine Learning and Artificial Intelligence: The Beginner's Handbook to Unlocking the Potential of Machine Learning and Artificial Intelligence by Emenwa Global
English | October 22, 2023 | ISBN: N/A | ASIN: B0CLL2GGF2 | 144 pages | EPUB | 0.34 Mb
In this book, we will explore the fundamental concept of Artificial Intelligence ,AI and its significance in the field of Machine Learning. Designed for beginners, developers, programmers, students, and anyone interested in the niches of Machine Learning and Artificial Intelligence,

Free Download Machine Learning Using R
English | 2022 | ISBN: 9354248594 | 627 Pages | EPUB (True) | 28 MB
Machine Learning Using R aims to make ML concepts and model development using R simpler for students and practitioners. This book covers the theoretical concepts behind ML algorithms and illustrates use of R for developing ML models using datasets from customer relationship management, healthcare, finance, human resource management, social media, and sports. The book discusses challenges and remedies in building machine learning models using several real-life cases which the authors have worked upon as a part of consulting engagements.

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Free Download Machine Learning Made Easy: A Beginner's Guide to Core Concepts and Real Projects (From Python to AI: A Hands-On Project-Based Series Book ) by Bakht Muhammad
English | September 3, 2025 | ISBN: N/A | ASIN: B0FPPXQG7W | 181 pages | EPUB | 7.25 Mb
Machine Learning for Beginners: Learn the Basics, Build Projects, and Explore Real-World AI

Free Download Machine Learning For Dummies
English | 2026 | ISBN: 1394373228 | 395 Pages | PDF | 6 MB
Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go-and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to.

Free Download Machine Learning: A Comprehensive Beginner's Guide
English | 2025 | ISBN: 1032676663 | 261 Pages | EPUB | 52 MB
Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.

Free Download MXene Based Gas Sensors
English | 2026 | ISBN: 1032852828 | 255 Pages | PDF EPUB (True) | 42 MB
MXene-based Gas Sensors represents a significant contribution to the field, encompassing the latest theoretical and experimental investigations. It meticulously covers the classification of MXenes, their fundamental properties and synthesis approaches, providing an important resource for researchers and students. It further includes theoretical perspectives and in-depth insights into the gas sensing mechanisms of MXene-based sensors, along with a comprehensive classification of gas sensor devices, fabrication techniques, and evaluation parameters, filling a significant gap in the literature. The book also addresses advanced topics, including tuning approaches for enhancing the performance and selectivity of MXene-based gas sensors, specific applications such as NH3 and NO2 gas sensing, chemical vapor detection, humidity sensing, and the emerging domains of flexible, wearable and self-powered MXene-based gas sensors. The book will be useful for graduate students engaged in sensors research and as a reference for industry professionals.

Machine Wealth AI Mutual Funds and the New Age of Investment

Machine Learning for Beginners

Machine Learning and Data Analysis in Soft Matter Physics

Machine Learning and Artificial Intelligence

Machine Learning Using R

Machine Learning Made Easy A Beginner's Guide to Core Concepts and Real Projects

Machine Learning For Dummies (3rd Edition)

Machine Learning A Comprehensive Beginner's Guide

MacBook Air M4 User Guide for Beginners

MXene Based Gas Sensors