15.09.2024, 18:03
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#1
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Collection Download Ebooks Best Seller Updated Daily
below here , this is a free ebooks search engine, the best free ebooks download library. It's the open directory for free ebooks and download links.
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07.03.2025, 16:46
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#44731
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M1 Abrams (Images of War)
M1 Abrams (Images of War) by David Doyle
English | December 1, 2018 | ISBN: 1526738775 | 232 pages | MOBI | 51 Mb
The M1 Abrams has been the principal main battle tank of the US military since 1980. Conceived to counter the threat of a massive Soviet armored incursion in Europe, the tank gained considerable fame during the Persian Gulf War of 1991, and its combat record has continued to climb. With such a long service life, the Abrams has undergone continual improvements and upgrades, which are illustrated in great detail in this volume. The unique features of the various models are detailed in stunning color photos, and the combat use of these fearsome vehicles is richly illustrated through previously unpublished photos.
The story of the Abrams begins in the late 1960s when the threat of Soviet Armor developments forced the U.S. to look for a suitable replacement for the M60 series. A joint venture between the U.S. and West Germany to build a suitable common Main Battle Tank brought about the unorthodox and terribly expensive MBT70. It never saw series production. When this program was cancelled in 1970 a quest for a more cost-effective tank was begun.
The constant development, upgrade, and conversion of the series have kept the Abrams at the forefront of main battle tank technology, and it has proven itself on the battlefield time and time again. The Abrams is entering its fourth decade of service with U.S. forces and the plan is to keep the vehicle in the United States' inventory through as late as 2040.
The original design of the M1 was conceived to allow the installation of the smooth bore M256 main gun with only minimal modification. The gun was a German Rheinmetall design for the Leopard II. With additional improvements to the armor, transmission, engine, and the addition of an integrated nuclear, biological, and chemical system, the new production M1A1 Abrams was standardized in 1984. Production at the Detroit Arsenal was now under the control of General Dynamics Land Systems. The production of the M1A1 ended in 1993 with over 4500 produced.
The new main gun greatly increased the tanks firepower. In 1988 a layer of depleted uranium (DU) was added to the special armor array in the front of the tank. This gave the tank unprecedented protection for the crew. The tanks were also equipped internally by powered blast doors which separated the turret crew from the ammunition storage in the turret's rear. This also increased crew survivability in case the tank was penetrated in this area.
The story of the M1A1 will be forever linked with images of the 1st Gulf War of 1991. Never in the 100-year history of armored warfare has such a dominant weapon appeared on the battlefield with almost complete impunity form its adversaries. In that brief conflict the tank achieved an almost perfect balance of firepower, mobility, and protection.
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07.03.2025, 16:48
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#44732
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Mac Basics
Mac Basics
English | 2025 | ISBN: 9781990783661 | 214 Pages | EPUB | 8.4 MB
This book is a thorough, friendly guide to using a Mac, starting from scratch. It covers both the Mac hardware and macOS, as well as Apple's built-in apps. Whether you're a new to Macs or someone who has been struggling because no one ever taught you the ins and outs, you'll learn how to become a confident Mac user.
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07.03.2025, 16:49
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#44733
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Macaulay
Jane Millgate, "Macaulay"
English | 2022 | ISBN: 1032371234, 1032371242 | PDF | pages: 246 | 13.5 mb
First published in 1973 Macaulay explores important aspects of the interrelationship between Macaulay's literary and political careers, sets his achievements as an author within the context of his achievements as a public man, and examines some of the sources of his popularity and success. In doing so, it draws extensively on Macaulay's journals and other papers at Trinity College, Cambridge and elsewhere. The emphases of the book are critical, not biographical, its essential aims the exploration of the range and quality of Macaulay's writing and the demonstration of the validity of continuing to approach him- above all in mature essays and the History of England - as a narrative artist. This book is a must read for students of education, history of education, and British history.
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07.03.2025, 16:50
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#44734
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Machine Design Data Handbook (S.I. Metric), 2ed
Machine Design Data Handbook (S.I. Metric), 2ed by unknown author
English | ISBN: 938930735X | PDF | 6.31 Mb
Machine Design Data Handbook is meant for Mechanical, Production and Industrial Engineering branches. The book contains data in the form of equations, tables and graphs. The first chapter deals with the basic equations derived in mechanics of materials and helps in determining stresses in machine elements under various loading situations. The second chapter contains data of mechanical properties of various engineering materials used for the machine elements. The third chapter deals with the various theories used for predicting failures under the static and fluctuating loads. It also deals with the methods used for estimating the life to failure under variable loadings.
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07.03.2025, 16:51
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#44735
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Machine Learning
Vincy Joseph Anuradha Srinivasaraghavan, "Machine Learning"
English | ISBN: 8126578513 | 2018 | 328 pages | EPUB | 10 MB
Brand New International Paper-back Edition same as per description, **Economy edition, May have been printed in Asia with cover stating Not for sale in US. Legal to use despite any disclaimer on cover. Save Money. Contact us for any queries. Best Customer Support! All Orders shipped with Tracking Number.
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07.03.2025, 16:52
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#44736
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Machine Learning and Metaheuristic Computation
Machine Learning and Metaheuristic Computation by Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
English | November 27th, 2024 | ISBN: 139422964X | 431 pages | True PDF | 10.59 MB
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches
Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both.
Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a reference text and a course, it is built around the popular Python programming language to maximize utility. It guides the reader gradually from an initial understanding of these crucial methods to an advanced understanding of cutting-edge artificial intelligence tools.
The text also provides:
* Treatment suitable for readers with only basic mathematical training
* Detailed discussion of topics including dimensionality reduction, clustering methods, differential evolution, and more
* A rigorous but accessible vision of machine learning algorithms and the most popular approaches of metaheuristic optimization
Machine Learning and Metaheuristic Computation is ideal for students, researchers, and professionals looking to combine these vital methods to solve problems in optimization approaches.
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07.03.2025, 16:53
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#44737
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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Ge...
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.
Recognizing the immense potential for ML-based enhancements in the EMâO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners. To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types. Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMâO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed innovized progress operators (2021-23). It also highlights the utility of ML interventions in the search, post-optimality, and decision-making phases pertaining to the use of EMâOAs. Finally, this book shares insightful perspectives on the future potential for ML based enhancements in the EMâOA domain.
To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMâOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMâOA and ML domains.
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07.03.2025, 16:55
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#44738
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Machine Learning for Beginners A Step-by-Step Guide with Code Examples
Machine Learning for Beginners: A Step-by-Step Guide with Code Examples:
Learn Core ML Concepts, Build Projects, and Implement Algorithms with Python"
English | 2025 | ASIN : B0DX8N5PNP | 303 Pages | EPUB | 18 MB
This book is designed for absolute beginners who are eager to understand and implement machine learning algorithms with ease. With clear, easy-to-follow explanations and hands-on code examples in Python, you'll master the core concepts and techniques of machine learning in no time.
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07.03.2025, 16:56
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#44739
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Machine Learning for Healthcare Applications
Machine Learning for Healthcare Applications
English | 2021 | ISBN: 1119791812 | 534 Pages | EPUB (True) | 11 MB
When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.
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07.03.2025, 16:57
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#44740
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Machine Learning for Neurodegenerative Disorders
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. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders. This comprehensive resource is intended for neuroscientists, students, researchers, and neurologists to understand the emerging scope of machine learning in neurodegenerative disorders.
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07.03.2025, 16:58
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#44741
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Machine Learning for Tabular Data
Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI
by Mark Ryan
English | 2025 | ISBN: 1633438546 | 734 Pages | EPUB | 37 MB
Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular business data sources such as spreadsheets, databases, and logs. You'll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline.
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07.03.2025, 17:00
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#44742
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Machine Learning Hero
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.
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07.03.2025, 17:01
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#44743
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Machine Learning in 30 Days The Complete Beginner's Guide
Machine Learning in 30 Days: The Complete Beginner's Guide
English | 2025 | ASIN : B0DX7F1SGQ | 206 Pages | EPUB | 4 MB
Machine Learning in 30 Days: The Complete Beginner's Guide is the ultimate step-by-step roadmap for anyone looking to master machine learning with Python from scratch. Designed to take you from a complete beginner to a confident ML practitioner in just 30 days, this book provides a structured, easy-to-follow approach to learning machine learning Python efficiently.
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07.03.2025, 17:02
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#44744
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Machine Learning spiegato in modo facile Guida illustrata per programmatori curios...
Machine Learning spiegato in modo facile: Guida illustrata per programmatori curiosi (Italian Edition) by Luis G. Serrano
Italian | October 23, 2024 | ISBN: N/A | ASIN: B0DKP2GBRD | 800 pages | EPUB | 22 Mb
Il machine learning permette di insegnare ai computer come analizzare grandi quantità di dati, apprendere in autonomia e generare conoscenza. Gli algoritmi di machine learning sono quindi fondamentali per i sistemi di raccomandazione, i software di riconoscimento di visi e immagini, gli assistenti vocali, le auto a guida autonoma e in generale tutte le applicazioni che utilizzano intelligenze artificiali.
Attraverso spiegazioni chiare, diagrammi, esempi ed esercizi, questa guida illustrata aiuta a capire come funzionano il machine learning e le AI senza dover faticare su migliaia di pagine di teoria. Per iniziare basta una buona conoscenza della matematica studiata a scuola e dei concetti base di programmazione.
Una lettura per programmatori alle prime armi, studenti, appassionati di informatica che vogliono apprendere i meccanismi, i segreti e la potenza del machine learning e delle applicazioni di intelligenza artificiale.
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07.03.2025, 17:03
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#44745
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Machine Learning System Design With End-to-end Examples
Machine Learning System Design: With End-to-end Examples
English | 2025 | ISBN: 1633438759 | 534 Pages | EPUB | 15 MB
Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. 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.
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