Machine Learning Pocket Reference

Machine Learning Pocket Reference PDF
Author: Matt Harrison
Publisher: O'Reilly Media
ISBN: 1492047511
Size: 52.21 MB
Format: PDF
Category : Computers
Languages : en
Pages : 320
View: 1493

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Machine Learning Pocket Reference

by Matt Harrison, Machine Learning Pocket Reference Books available in PDF, EPUB, Mobi Format. Download Machine Learning Pocket Reference books, With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines


Data Pipelines Pocket Reference

Data Pipelines Pocket Reference PDF
Author: James Densmore
Publisher: O'Reilly Media
ISBN: 9781492087830
Size: 17.84 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 200
View: 6351

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Data Pipelines Pocket Reference

by James Densmore, Data Pipelines Pocket Reference Books available in PDF, EPUB, Mobi Format. Download Data Pipelines Pocket Reference books, Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as data pipeline design patterns, data ingestion implementation, data transformation, the orchestration of pipelines, and build versus buy decision making. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support machine learning and analytics needs Considerations for pipeline maintenance, testing, and alerting


Angular And Machine Learning Pocket Primer

Angular and Machine Learning Pocket Primer PDF
Author: Oswald Campesato
Publisher: Stylus Publishing, LLC
ISBN: 168392469X
Size: 20.45 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 262
View: 7332

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Angular And Machine Learning Pocket Primer

by Oswald Campesato, Angular And Machine Learning Pocket Primer Books available in PDF, EPUB, Mobi Format. Download Angular And Machine Learning Pocket Primer books, As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher. Features: Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures (Also available from the publisher for downloading by writing to [email protected])


Pandas 1 X Cookbook

Pandas 1 x Cookbook PDF
Author: Matt Harrison
Publisher: Packt Publishing Ltd
ISBN: 1839218916
Size: 53.43 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 626
View: 2042

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Pandas 1 X Cookbook

by Matt Harrison, Pandas 1 X Cookbook Books available in PDF, EPUB, Mobi Format. Download Pandas 1 X Cookbook books, Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book Description The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results. What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.


Tensorflow 2 Pocket Primer

TensorFlow 2 Pocket Primer PDF
Author: Oswald Campesato
Publisher: Stylus Publishing, LLC
ISBN: 1683924592
Size: 72.92 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 252
View: 750

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Tensorflow 2 Pocket Primer

by Oswald Campesato, Tensorflow 2 Pocket Primer Books available in PDF, EPUB, Mobi Format. Download Tensorflow 2 Pocket Primer books, As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to [email protected] Features: Uses Python for code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of the source code examples and figures (download from the publisher)


Angular And Deep Learning Pocket Primer

Angular and Deep Learning Pocket Primer PDF
Author: Oswald Campesato
Publisher: Stylus Publishing, LLC
ISBN: 168392472X
Size: 45.32 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 342
View: 3747

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Angular And Deep Learning Pocket Primer

by Oswald Campesato, Angular And Deep Learning Pocket Primer Books available in PDF, EPUB, Mobi Format. Download Angular And Deep Learning Pocket Primer books, As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included. FEATURES: Introduces basic deep learning concepts and Angular 10 applications Covers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks) Introduces TensorFlow 2 and Keras Includes companion files with source code and 4-color figures.


Artificial Intelligence Machine Learning And Deep Learning

Artificial Intelligence  Machine Learning  and Deep Learning PDF
Author: Oswald Campesato
Publisher: Stylus Publishing, LLC
ISBN: 1683924665
Size: 23.94 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 300
View: 1637

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Artificial Intelligence Machine Learning And Deep Learning

by Oswald Campesato, Artificial Intelligence Machine Learning And Deep Learning Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence Machine Learning And Deep Learning books, This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas


Python 3 For Machine Learning

Python 3 for Machine Learning PDF
Author: Oswald Campesato
Publisher: Stylus Publishing, LLC
ISBN: 1683924940
Size: 40.63 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 364
View: 1073

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Python 3 For Machine Learning

by Oswald Campesato, Python 3 For Machine Learning Books available in PDF, EPUB, Mobi Format. Download Python 3 For Machine Learning books, This book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2. Features: Provides the reader with basic Python 3 programming concepts related to machine learning Includes separate appendices for regular expressions, Keras, and TensorFlow 2


Machine Learning Guia De Refer Ncia R Pida

Machine Learning     Guia de Refer  ncia R  pida PDF
Author: Matt Harrison
Publisher: Novatec Editora
ISBN: 8575228188
Size: 31.71 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : pt
Pages : 272
View: 2083

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Machine Learning Guia De Refer Ncia R Pida

by Matt Harrison, Machine Learning Guia De Refer Ncia R Pida Books available in PDF, EPUB, Mobi Format. Download Machine Learning Guia De Refer Ncia R Pida books, Com notas, tabelas e exemplos detalhados, esta referência prática ajudará você a navegar pelo básico do machine learning com dados estruturados. O autor Matt Harrison oferece um ótimo guia que você poderá usar como material complementar para cursos, além de servir como um recurso conveniente quando você iniciar o seu próximo projeto de machine learning. Ideal para programadores, cientistas de dados e engenheiros da área de IA, este livro apresenta uma visão geral do processo de machine learning e da classificação com dados estruturados. Você conhecerá métodos para clustering (agrupamento), regressão e redução de dimensões, entre outros assuntos. Este guia de referência rápida inclui: • classificação, usando o conjunto de dados do Titanic; • limpeza de dados e métodos para lidar com dados ausentes; • análise de dados exploratória; • passos comuns de pré-processamento usando dados de amostras; • seleção de atributos úteis ao modelo; • seleção do modelo; • métricas e avaliação da classificação; • exemplos de regressão usando diversas técnicas de ML; • métricas para avaliação de regressão; • clustering; • redução de dimensões; • pipelines do scikit-learn.


Swift Pocket Reference

Swift Pocket Reference PDF
Author: Anthony Gray
Publisher: "O'Reilly Media, Inc."
ISBN: 1491940042
Size: 65.48 MB
Format: PDF, Kindle
Category : COMPUTERS
Languages : en
Pages : 236
View: 5692

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Swift Pocket Reference

by Anthony Gray, Swift Pocket Reference Books available in PDF, EPUB, Mobi Format. Download Swift Pocket Reference books, Get quick answers for developing and debugging applications with Swift, Apple’s multi-paradigm programming language. Updated to cover the latest features in Swift 2.0, this pocket reference is the perfect on-the-job tool for learning Swift’s modern language features, including type safety, generics, type inference, closures, tuples, automatic memory management, and support for Unicode. Designed to work with Cocoa and Cocoa Touch, Swift can be used in tandem with Objective-C, and either language can call APIs implemented in the other. Swift is still evolving, but Apple clearly sees it as the future language of choice for iOS and OS X software development. Topics include: Supported data types, such as strings, arrays, array slices, sets, and dictionaries Program flow: loops, conditional execution, and error handling Classes, structures, enumerations, and functions Protocols, extensions, and generics Memory management Closures: similar to blocks in Objective-C and lambdas in C# Optionals: values that can explicitly have no value Operators, operator overloading, and custom operators Access control: restricting access to types, methods, and properties Ranges, intervals, and strides A full list of built-in global functions and their parameter requirements