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Machine Learning for Decision Makers (2nd Edition)

Free Download Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
English | 2024 | ISBN: 1484298004 | 676 Pages | PDF EPUB (True) | 9 MB
This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology.

Free Download Machine Learning for Causal Inference
English | 2023 | ISBN: 3031350502 | 544 Pages | PDF EPUB (True) | 27 MB
This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference, which include basic definitions, illustrative examples, and assumptions. It then delves into the different types of classical causal inference methods, such as matching, weighting, tree-based models, and more. Additionally, the book explores how machine learning can be used for causal effect estimation based on representation learning and graph learning. The contribution of causal inference in creating trustworthy machine learning systems to accomplish diversity, non-discrimination and fairness, transparency and explainability, generalization and robustness, and more is also discussed. The book also provides practical applications of causal inference in various domains such as natural language processing, recommender systems, computer vision, time series forecasting, and continual learning. Each chapter of the book is written by leading researchers in their respective fields.

Free Download Machine Learning Methods
English | 2024 | ISBN: 981993916X | 827 Pages | PDF EPUB (True) | 35 MB
This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis.

Read More: Machine Learning Mastery

Free Download Machine Learning Governance for Managers
English | 2024 | ISBN: 3031318048 | 126 Pages | PDF EPUB (True) | 8 MB
Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, performance measurement, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices. Particular emphasis is given to ramping up a solution quickly, detailing skills and techniques to ensure the right things are measured and acted upon for reliable results and high performance.

Free Download Machine Learning Concepts from A to Z: A Comprehensive Guide with Code: Machine Learning Mastery: From A to Z with Code - Practical Examples, Algorithms, and Applications
by Vanshika Choudhary
English | 16 Oct. 2023 | ISBN: N/A | ASIN: B0CL7M4LLZ | 206 Pages | PNG | 17.5 MB

Free Download Greg Prato, "MTV Ruled the World: The Early Years of Music Video"
English | 2011 | pages: 476 | ISBN: 0578071975 | EPUB | 0,4 mb
There have been few times in modern music history that an instant shift in how we listen to - and view - music has occurred. However, the launch of MTV on August 1, 1981, was certainly one such occurrence. Instantly, music fans were now "listening with their eyes" rather than relying solely on their ears. 'MTV Ruled the World: The Early Years of Music Video' is the first book to focus solely on the channel's important building-block years, specifically from the channel's launch to when MTV's original group of VJs left the channel. Comprised of over 70 all-new interviews ("Weird Al" Yankovic, Daryl Hall, John Oates, Joe Elliott, Phil Collen, Rob Halford, Stewart Copeland, Rick Springfield, Jerry Casale, Geddy Lee, Ann Wilson, Chuck D, Alan Hunter, Nina Blackwood, etc.), the book is not only an eye-opening account of the early years of MTV, but also of the music industry, important music developments/events, and the "Big '80s" in general.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.

Dl4All - Download free For All: software and educational resource.

Machine Learning for Decision Makers (2nd Edition)

Machine Learning for Causal Inference

Machine Learning and Deep Learning with Python

Machine Learning Methods

Machine Learning Mastery

Machine Learning Governance for Managers

Machine Learning Concepts from A to Z

Machine Learning Algorithms Simplified

MTV Ruled the World The Early Years of Music Video

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