Download PDF R Deep Learning Essentials

[Download PDF.68M7] R Deep Learning Essentials

[Download PDF.68M7] R Deep Learning Essentials

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Key FeaturesHarness the ability to build algorithms for unsupervised data using deep learning concepts with RMaster the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the modelsBuild models relating to neural networks, prediction and deep predictionBook DescriptionDeep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. With the superb memory management and the full integration with multi-node big data platforms, the H2O engine has become more and more popular among data scientists in the field of deep learning.This book will introduce you to the deep learning package H2O with R and help you understand the concepts of deep learning. We will start by setting up important deep learning packages available in R and then move towards building models related to neural networks, prediction, and deep prediction, all of this with the help of real-life examples.After installing the H2O package, you will learn about prediction algorithms. Moving ahead, concepts such as overfitting data, anomalous data, and deep prediction models are explained. Finally, the book will cover concepts relating to tuning and optimizing models.What you will learnSet up the R package H2O to train deep learning modelsUnderstand the core concepts behind deep learning modelsUse Autoencoders to identify anomalous data or outliersPredict or classify data automatically using deep neural networksBuild generalizable models using regularization to avoid overfitting the training dataAbout the AuthorDr. Joshua F. Wiley is a lecturer at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles. His research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and his former work at the UCLA Statistical Consulting Group, Joshua has helped a wide array of clients, ranging from experienced researchers to biotechnology companies. He develops or codevelops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.Table of ContentsGetting Started with Deep LearningTraining a Prediction ModelPreventing OverfittingIdentifying Anomalous DataTraining Deep Prediction ModelsTuning and Optimizing ModelsBibliography Lieutenant General H R McMaster Hoover Institution Lieutenant General H R McMaster has been a visiting fellow at the Hoover Institution and is the incoming National Security Advisor to United States President Donald Redilearning is acquired by Relias Learning RediLearning announced today that it has completed the sale of the company to Relias Learning Engineering Essentials - Electronic Design 1 Public keys consist of a private and public key that can be generated using a large random number The key pairs can be used to implement encryption digital Big Data & Business Intelligence Books and eBooks - Packt Harness the power of Python to develop data mining applications analyze data delve into machine learning explore object detection using Deep Neural Networks and BibMe: Free Bibliography & Citation Maker - MLA APA BibMe Free Bibliography & Citation Maker - MLA APA Chicago Harvard Deep learning and education for sustainability Deep learning is a key strategy by which students extract meaning and understanding from course materials and experiences Because of the range and interconnectedness Learning - Wikipedia Learning is the act of acquiring new or modifying and reinforcing existing knowledge behaviors skills values or preferences which may lead to a potential change THE NATURAL STEP FRAMEWORK The Natural Step This definition of sustainability is concrete and understandable for everyone The Natural Steps approach creates a shared language so that we may work together Learning Through Reflection - nwlinkcom Learning Through Reflection We learn by experiences that allow us to (Wertenbroch Nabeth 2000): Absorb (see hear feel taste smell) Do (perform an Machine Learning with R PACKT Books R gives you access to the cutting-edge software you need to prepare data for machine learning No previous knowledge required this book will take you methodically
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