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technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book;
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pricing models-and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't;
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, Python provides a way to get the work done. Python All-in-One For Dummies offers a starting point for those new to coding by explaining the;
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. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;
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A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;
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learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;
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the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms;
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. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to;
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. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;
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and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;
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Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;
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Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;
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computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning;
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pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive;
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pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive;
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heavy. What You Will Learn Write machine learning algorithms in Rust Use Rust libraries for different tasks;
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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;
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learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;
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examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science;
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This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;
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establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for;
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set up services, train models, and manage applications. See how to implement machine learning for various lines of business, from finance to;
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Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;
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Einde inhoud
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