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Application of Machine Learning and Deep Learning Methods to Power System Problems

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on;

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Hands-On Deep Learning for Images with TensorFlow

Build an effective image classification system using the power of CNNs Leverage TensorFlow's capabilities to perform efficient deep learning;

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Deep Learning

Build and run intelligent applications by leveraging key Java machine learning libraries About This Book * Develop a sound strategy to;

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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Machine Learning and Medical Imaging

world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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Mastering Machine Learning with R

complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build;

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Deep Learning and Linguistic Representation

application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work;

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Deep Learning and Linguistic Representation

application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work;

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Machine Learning with R

learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning;

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R Machine Learning By Example

complex problems by using power-packed R constructs and its robust packages for machine learning * Learn to build your own machine learning;

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Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

learning theory and kernel-based methods, and tree-based methods; examines the application of machine learning to steady state and dynamic;

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Advances in Hybridization of Intelligent Methods

, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes;

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Data Mining and Machine Learning in Cybersecurity

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role;

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Mastering Machine Learning with R -

Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;

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Practical Machine Learning with Python

you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python;

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Zai:Deep Reinforcement Learning i_p

that powers a suite of AWS machine learning products. Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to;

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Machine Learning with TensorFlow 1.x

you how to easily get started with machine learning using the power of Python and TensorFlow 1.x. Firstly, you'll cover the basic;

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Machine Learning in the Oil and Gas Industry

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the;

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Machine Learning in the Oil and Gas Industry

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the;

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Cognitive Computing Recipes

deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs;

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Modern Deep Learning Design and Application Development

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and;

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Python Machine Learning Cookbook

to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common;

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Deep Learning Applications

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE;

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Introduction to Machine Learning

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural;

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Natural Language Processing

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops;

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Enhancing Computer Security with Smart Technology

scope of these subjects, the author concentrates on problems related to the detection of intrusions through the application of machine learning;

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