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English | 2024 | ISBN: B0DNVMVCPP | Pages: 102 | EPUB (True) | 269.03 KB
Have you ever wondered what it would be like to have a machine working for you in the financial market, making smart decisions and maximizing your profits while you enjoy your free time? "Machines Trading" is the book that will open the doors to that world. This is not a boring technical manual or a simple beginner's guide, it is a fascinating and accessible journey into the heart of automated trading. It is designed for both those who are taking their first steps and those who are already experienced and looking to take their trading to the next level using bots and advanced technologies.

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English | 2024 | ISBN: 2940180755773 | Pages: 350 | EPUB (True) | 338.21 KB
Dive into the transformative power of Artificial Intelligence! From revolutionizing healthcare diagnostics to optimizing supply chains and personalized learning, this guide explores how AI shapes modern life, industries, and the future. Get insights on trends, ethical considerations, and the exciting potential of AI to enhance everyday experiences

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English | 2024 | ISBN: B0DDXXKQ2S | Pages: 480 | EPUB (True) | 482.45 KB
"Machine Learning with PyTorch: From Basics to Expert Proficiency" is an indispensable guide for anyone aspiring to master the art and science of machine learning using PyTorch, one of the most powerful and flexible frameworks available today. This meticulously crafted book offers a comprehensive journey through the fundamental principles and advanced techniques of machine learning. From setting up your development environment to deploying sophisticated models, every chapter is designed to build your skills progressively, ensuring a deep understanding of both theoretical concepts and practical implementations.

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English | 2024 | ISBN: B0DGS8C4K9 | Pages: 351 | EPUB (True) | 345.47 KB
Unlock the full potential of machine learning with "Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs." This essential guide meticulously navigates through the intricate world of cloud-based ML APIs across the leading platforms-Google Cloud, AWS, and Azure. Whether you're a software developer, data scientist, IT professional, or business strategist, this book equips you with the knowledge to make informed decisions about implementing and managing these powerful tools in your projects.

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English | 2024 | ISBN: B0DGLTZNHZ | Pages: 454 | EPUB (True) | 1.77 MB
In the era of big data and digital transformation, finance is no longer confined to traditional methods and human intuition. *Machine Learning for Quants: Algorithms for Predicting Market Movements* delves into the fascinating intersection of finance and advanced data science, illuminating the path for quantitative analysts to leverage machine learning techniques in the quest for market supremacy. This comprehensive guide bridges the gap between complex algorithms and practical financial applications, offering readers a meticulous yet accessible exploration of the tools needed to predict stock prices, design robust trading strategies, and manage risks effectively.

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English | 2023 | ISBN: B0C4B5H7GB | Pages: 547 | EPUB (True) | 8.93 MB
As machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.

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English | 2025 | ISBN: 9789819642410 | 389 pages | True PDF,EPUB | 16 MB
The book "Machine Learning for Disease Detection, Prediction, and Diagnosis" can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices. It provides an in-depth analysis of how these new technologies are helpful to detect, predict and diagnose diseases more accurately. The book covers various topics such as image classification algorithms, supervised learning methods like support vector machines (SVM), deep neural networks (DNNs), convolutional neural networks (CNNs), etc. unsupervised approaches such as clustering algorithms as well as reinforcement learning strategies.

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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.

Machines Trading Strong Candles, #1

Machine Vision and Augmented Intelligence Select Proceedings of MAI 2022

Machine Minds AI for all An Ethical Intelligence & Responsible Revolution

Machine Learning with Python Building Smart Systems for the Real World

Machine Learning with PyTorch From Basics to Expert Proficiency

Machine Learning in the Cloud Comparing Google Cloud, AWS, and Azure APIs

Machine Learning for Quants Algorithms for Predicting Market Movements

Machine Learning for Imbalanced Data Tackle imbalanced datasets using machine learning and deep learning techniques

Machine Learning for Disease Detection, Prediction, and Diagnosis Challenges and Opportunities

Machine Learning for Beginners No Math Required