Deep Learning Made Easy With R

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Deep Learning Made Easy With R

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Author : N. D. Lewis
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-01-10

Deep Learning Made Easy With R written by N. D. Lewis and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-10 with categories.

Master Deep Learning with this fun, practical, hands on guide. With the explosion of big data deep learning is now on the radar. Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. Other large corporations are quickly building out their own teams. If you want to join the ranks of today's top data scientists take advantage of this valuable book. It will help you get started. It reveals how deep learning models work, and takes you under the hood with an easy to follow process showing you how to build them faster than you imagined possible using the powerful, free R predictive analytics package. Bestselling decision scientist Dr. N.D Lewis shows you the shortcut up the steep steps to the very top. It's easier than you think. Through a simple to follow process you will learn how to build the most successful deep learning models used for learning from data. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful applications. If you want to accelerate your progress, discover the best in deep learning and act on what you have learned, this book is the place to get started. YOU'LL LEARN HOW TO: Understand Deep Neural Networks Use Autoencoders Unleash the power of Stacked Autoencoders Leverage the Restricted Boltzmann Machine Develop Recurrent Neural Networks Master Deep Belief Networks Everything you need to get started is contained within this book. It is your detailed, practical, tactical hands on guide - the ultimate cheat sheet for deep learning mastery. A book for everyone interested in machine learning, predictive analytic techniques, neural networks and decision science. Start building smarter models today using R! Buy the book today. Your next big breakthrough using deep learning is only a page away!

Deep Learning Made Easy With R

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Author : N. D. Lewis
language : en
Publisher:
Release Date : 2016-06-19

Deep Learning Made Easy With R written by N. D. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-19 with categories.

Who Else Wants to Master Deep Learning in Half the Time? Start building smarter models today using R ! Deep Learning Made Easy with R: Volume III is designed for anyone who wants to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash deep learning ideas to enhance your data science projects. YOU'LL LEARN HOW TO: Mobilize multi-task learning to solve challenging problems. Leverage Python to maximize your deep learning solutions. Implement semi-supervised learning to intensify the power of your neural networks. Deploy deep stacking to boost predictive performance. Fine tune deep networks to boost, accelerate, and transform predictive performance. Use advanced tools to diagnose, discover and generate greater clarity. Innovate and design outstanding solutions with custom deep learning architectures Build Deep Learning Models Faster! Bestselling Data Scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of advanced deep learning techniques in your own research. THIS BOOK IS FOR YOU IF YOU WANT: Real world applications that make sense. Examples to stimulate your thinking. Illustrations to deepen your understanding. Worked examples in R you can easily follow and immediately implement. Ideas you can actually use. Whether you are using data to exploit the next great opportunity in the financial markets or exploring data to assess the effectiveness of a new medical treatment. You want access to the very best in predictive analytics. Accelerate your learning, boost your productivity, unleash breakthrough techniques for greater performance. This is an exciting time to be involved in data science. Buy this book today and join the data science revolution!

Deep Learning Made Easy With R

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Author : N. D. Lewis
language : en
Publisher:
Release Date : 2016-05-07

Deep Learning Made Easy With R written by N. D. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-07 with categories.

Who Else Wants to Master Deep Learning in Half the Time? Start building smarter models today using R ! Build Deep Learning Models Faster Then You Imagined Possible! This book provides an accessible, hands on, easy to follow guide to building deep learning models in R. If you want to accelerate your progress, discover the best in deep learning and act on what you have learned, this book is for you. It is designed for anyone who wishes to gain a practical understanding of the important modeling and prediction techniques that make up the increasingly lucrative discipline of deep learning. NO EXPERIENCE REQUIRED: - Bestselling data scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of deep learning in your own research. Following on from the success of the first book in the Deep Learning Made Easy Series, it gives you new deep learning tools to use in your very own research. . YOU'LL LEARN HOW TO: Unleash the power of Kernel Deep Convex Neural Networks. Develop winning solutions with Deep Boosting. Explore, evaluate and exploit Monotone Neural Networks. Design successful solutions with Extreme Learning Machines. Master Deep Autoencoders. Ignite your use of Self-Organizing Polynomial Neural Networks. This hands on text is for individuals who want to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash ideas to enhance your data science projects. THIS BOOK IS FOR YOU IF YOU WANT:: Real world applications that make sense. Examples to stimulate your thinking. Illustrations to deepen your understanding. Worked examples in R you can easily follow and immediately implement. Ideas you can actually use. Deep Learning Made Easy with R:Volume II is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and join the data science revolution!

Machine Learning Made Easy With R

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Author : N. Lewis
language : en
Publisher:
Release Date : 2017-05-07

Machine Learning Made Easy With R written by N. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-07 with categories.

Finally, A Blueprint for Machine Learning with R! Machine Learning Made Easy with R offers a practical tutorial that uses hands-on examples to step through real-world applications using clear and practical case studies. Through this process it takes you on a gentle, fun and unhurried journey to creating machine learning models with R. Whether you are new to data science or a veteran, this book offers a powerful set of tools for quickly and easily gaining insight from your data using R. NO EXPERIENCE REQUIRED: This book uses plain language rather than a ton of equations; I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to try successful machine learning algorithms for yourself. YOUR PERSONAL BLUE PRINT: Through a simple to follow intuitive step by step process, you will learn how to use the most popular machine learning algorithms using R. Once you have mastered the process, it will be easy for you to translate your knowledge to assess your own data. THIS BOOK IS FOR YOU IF YOU WANT: Focus on explanations rather than mathematical derivation Practical illustrations that use real data. Illustrations to deepen your understanding. Worked examples in R you can easily follow and immediately implement. Ideas you can actually use and try on your own data. TAKE THE SHORTCUT: This guide was written for people just like you. Individuals who want to get up to speed as quickly as possible. to: YOU'LL LEARN HOW TO: Unleash the power of Decision Trees. Develop hands on skills using k-Nearest Neighbors. Design successful applications with Naive Bayes. Deploy Linear Discriminant Analysis. Explore Support Vector Machines. Master Linear and logistic regression. Create solutions with Random Forests. Solve complex problems with Boosting. Gain deep insights via K-Means clustering. Acquire tips to enhance model performance. For each machine learning algorithm, every step in the process is detailed, from preparing the data for analysis, to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Using plain language, this book offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using R. Everything you need to get started is contained within this book. Machine Learning Made Easy with R is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and accelerate your progress!

Learning From Data Made Easy With R

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Author : N. D. Lewis
language : en
Publisher:
Release Date : 2016-03-15

Learning From Data Made Easy With R written by N. D. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-15 with categories.

Who Else Wants to Learn from Data the Easy Way? Start building smarter models today using R ! Master Learning from Data with this fun, practical, hands on guide. This book provides an accessible, hands on easy to follow guide to building machine learning models. It explains what learning from data is all about, why it should be part of your data science toolkit, and how to exploit it in your own research. It is designed for anyone who wishes to gain a practical understanding of the important modeling and prediction techniques that make up the increasingly lucrative discipline of data science. NO EXPERIENCE REQUIRED: Bestselling data scientist Dr. N. D Lewis cuts a clear path through the jargon, opening the way for you to discover, understand, apply and exploit the potential of data science in your own research. Everything you need to get started is contained within this book. If you want to accelerate your progress, discover the best in data science and act on what you have learned, this book is the place to get started. YOU'LL LEARN HOW TO: Explore, evaluate and exploit the core types of learning. Unleash the power of supervised learning. Design successful solutions with semi-supervised learning. Ignite your use of unsupervised learning. Stimulate your own ideas and help you innovate new solutions This hands on text is for individuals who want to master the subject in the minimum amount of time. It leverages the power of the FREE predictive analytic package R to provide you with the necessary tools to maximize your understanding, deepen your knowledge and unleash ideas to enhance your data science projects. THIS BOOK IS FOR YOU IS FOR YOU IF YOU WANT:: Real world applications that make sense. Examples to stimulate your thinking. Illustrations to deepen your understanding. Worked examples in R you can easily follow and immediately implement. Ideas you can actually use. Learning from Data Made Easy with R is your very own hands on practical, tactical, easy to follow guide to mastery. This is an exciting time to be involved in data science. Buy this book today and join the data science revolution!

Predicting 0 1 Functions On Randomly Drawn Points

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Author : David Haussler
language : en
Publisher:
Release Date : 1990

Predicting 0 1 Functions On Randomly Drawn Points written by David Haussler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Learning categories.

We also discuss more computationally efficient algorithms for predicting indicator functions of axis-parallel rectangles, more general intersection closed concept classes, and halfspaces in R[superscript n]. These are also optimal to within a constant factor. Finally, we compare the general performance of prediction strategies derived by our method to those derived from methods in PAC learning theory."

Data Science For Beginners

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Author : Russel R Russo
language : en
Publisher:
Release Date : 2020-02-02

Data Science For Beginners written by Russel R Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-02 with categories.

Are you fascinated by Data Science but it seems too complicated? Do you want to learn everything about Artificial Intelligence but it looks like it is an exclusive club? If this is you, please keep reading: you are in the right place, looking at the right book. SInce you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify's personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution. Everyone knows (well, almost everyone) how important Data Science is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics. Also, it is quite commonly known that Artificial Intelligence, Machine Learning Deep Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business. And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?" Well, if you kept reading so far you are on the right track to answer your question. Either if you want to start your own AI entreprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and Python and Neural Networks programming is The Skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to find your way around Artificial Intelligence, Data Science, Deep Learning and Machine Learning, and to do that Data Science for Beginners is the best way. In Data Science for Beginners you will discover: The most effective starting points when training deep neural nets The smartest way to approach Machine Learning What libraries are and which one is the best for you Tips and tricks for a smooth and painless journey into artificial intelligence Why decision tree is the way The TensorFlow parts that are going to make your coding life easy Why python is the best language for Machine Learning How to bring your ideas into a computer How to talk with deep neural networks How to deal with variables and data The most common myths about Machine Learning debunked Even If you don't know anything about programming, understanding Data Science is the ideal place to start. Still, if you already know something about programming but not about how to apply it to Artificial Intelligence, Data Science is what you want to understand. Download now Data Science for Beginners to start your path of Artificial Intelligence.

Ecai 94 Proceedings

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Author : A. G. Cohn
language : en
Publisher:
Release Date : 1994-11

Ecai 94 Proceedings written by A. G. Cohn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-11 with Computers categories.

A collection of refereed papers presented at the 11th European Conference on Artificial Intelligence held in Amsterdam, The Netherlands in August 1994.

School Shop

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Author :
language : en
Publisher:
Release Date : 1981

School Shop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Technical education categories.

The Open Shelf

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Author :
language : en
Publisher:
Release Date : 1895

The Open Shelf written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1895 with categories.