Deep Learning Pocket Primer

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Deep Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher:
Release Date : 2019-04-30

Deep Learning Pocket Primer written by Oswald Campesato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with categories.

R For Deep Learning Pocket Primer

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Author : OSWALD. CAMPESATO
language : en
Publisher:
Release Date : 2023-12-14

R For Deep Learning Pocket Primer written by OSWALD. CAMPESATO and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with categories.

Angular And Deep Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-27

Angular And Deep Learning Pocket Primer written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-27 with Computers categories.

No detailed description available for "Angular and Deep Learning Pocket Primer".

Tensorflow Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019

Tensorflow Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. --

Angular And Machine Learning Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2020

Angular And Machine Learning Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.

The first three chapters of the book contain a short tour of basic Angular functionality, such as UI components and forms in Angular applications. The fourth chapter introduces you to machine learning concepts, such as supervised and unsupervised learning, followed by major types of machine learning algorithms (regression, classification, and clustering), along with a section regarding linear regression. The fifth chapter is devoted to classification algorithms, such as kNN, Na ve Bayes, decision trees, random forests, and SVM (Support Vector Machines). The sixth chapter introduces basic TensorFlow concepts, followed by tensorflowjs (i.e., TensorFlow in modern browsers), and some examples of Angular applications combined with machine learning. In addition, this book contains an appendix for deep learning.

Python For Tensorflow Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019

Python For Tensorflow Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.

Intended for software developers who are advanced beginners, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. --

Tensorflow 2 Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Pocket Primer
Release Date : 2019-08-30

Tensorflow 2 Pocket Primer written by Oswald Campesato and has been published by Pocket Primer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.

As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various "core" features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to [email protected]. Features: Uses Python for codesamples Covers TensorFlow 2 APIsand Datasets Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of thesource code examples and figures (download fromthe publisher)

Data Science Fundamentals Pocket Primer

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Author : Oswald Campesato
language : en
Publisher:
Release Date : 2021-05-25

Data Science Fundamentals Pocket Primer written by Oswald Campesato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-25 with categories.

As part of the best-selling Pocket Primerseries, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction tosome basic features of data analytics and also covers statistics, data visualization,linear algebra, and regular expressions. The book includes numerous code samplesusing Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figures

Python

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Author : Oswald Campesato
language : en
Publisher:
Release Date : 2014

Python written by Oswald Campesato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.

As part of the new Pocket Primer series, this book provides an overview of the major aspects and the source code to use Python. This Pocket Primer is primarily for self-directed learners who want to learn Python and serves as a starting point for deeper exploration of Python programming.

Natural Language Processing Using R Pocket Primer

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Author : Oswald Campesato
language : en
Publisher: Stylus Publishing, LLC
Release Date : 2022-01-05

Natural Language Processing Using R Pocket Primer written by Oswald Campesato and has been published by Stylus Publishing, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Computers categories.

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included and available for downloading by emailing the publisher at [email protected] with proof of purchase. FEATURES: Covers extensive topics related to natural language processing using R Features companion files with source code and figures from the book