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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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Artificial Intelligence Bundle - 3 Books in 1Book 1: Artificial Intelligence for People in a HurryBook 2: Machine Learning in FinanceBook 3;
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related to machine learning Includes separate appendices for regular expressions, Keras, and TensorFlow 2;
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This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the;
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This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;
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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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2 Session 1: Plenary 3 Session 2: Machine Learning from Image, Video, and Map Data 4 Session 3: Machine Learning from Natural Languages 5;
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learning, linear and logical regression, etc. Covers TensorFlow 2 and previous versions that run with TF2. Includes companion files with source;
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;ll LearnDefine, train, and evaluate machine learning models in TensorFlow 2 Apply fundamental concepts in machine learning, such as deep;
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also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and;
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the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents;
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hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for;
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for pattern classification. Section 2 focuses on intelligent learning methods and approaches, describing evolutionary learning of concepts;
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capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into;
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machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage;
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Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book * Get to the;
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of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural;
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book is forData scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will;
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learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications Who This Book Is For;
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Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;
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Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;
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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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Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;
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