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Deep Learning for Physical Scientists - Accelerating Research with Machine Learning

Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques;

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Deep Learning and Physics

interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;

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Deep Learning and Physics

interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;

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Machine Learning and Deep Learning in Real-Time Applications

of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Deep Learning with TensorFlow 2 and Keras

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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Advanced Machine Learning Approaches in Cancer Prognosis

learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted;

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Deep Learning with R

other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;

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Deep Learning for the Life Sciences

sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Computational Methods for Deep Learning

research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book;

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Artificial Intelligence for Data-Driven Medical Diagnosis

Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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Deep Learning with TensorFlow

learning problems concerning research and application Who This Book Is For The book is intended for a general audience of people interested;

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TensorFlow Deep Learning Projects

learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with;

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Learn TensorFlow 2.0

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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Machine Learning for Economics and Finance in TensorFlow 2

standard reference on machine learning for economics and finance. This book focuses on economic and financial problems with an empirical dimension;

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Deep Learning

detection * Experiment with deep learning concepts, algorithms, and the toolbox for deep learning * Select and split data sets into training, test;

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Python Machine Learning Cookbook

learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions;

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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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Artificial Intelligence

From humble evolutions in research papers and labs, artificial intelligence (AI)-which encompasses Machine Learning (ML) and Deep Learning;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Einde inhoud

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