Ashishsingh Bhatia's Books

Machine Learning with R Cookbook

Analyze data and build predictive models

By: AshishSingh Bhatia,Yu-Wei, Chiu (David Chiu)

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Machine Learning with R Cookbook

Analyze data and build predictive models

By: AshishSingh Bhatia,Yu-Wei, Chiu (David Chiu)

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This Book Apply R to simplify predictive modeling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Who This Book Is For This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful. What You Will Learn Create and inspect transaction datasets and perform association analysis with the Apriori algorithm Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm Compare differences between each regression method to discover how they solve problems Detect and impute missing values in air quality data Predict possible churn users with the classification approach Plot the autocorrelation function with time series analysis Use the Cox proportional hazards model for survival analysis Implement the clustering method to segment customer data Compress images with the dimension reduction method Incorporate R and Hadoop to solve machine learning problems on big data In Detail Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier. Style and approach This is an easy-to-follow guide packed with hands-on examples of machine learning tasks. Each topic includes step-by-step instructions on tackling difficulties faced when applying R to machine learning.

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564

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1787287807

ISBN 13

9781787287808

Machine Learning in Java

Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

By: AshishSingh Bhatia,Bostjan Kaluza

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Machine Learning in Java

Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

By: AshishSingh Bhatia,Bostjan Kaluza

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models Key FeaturesSolve predictive modeling problems using the most popular machine learning Java libraries Explore data processing, machine learning, and NLP concepts using JavaML, WEKA, MALLET librariesPractical examples, tips, and tricks to help you understand applied machine learning in JavaBook Description As the amount of data in the world continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. The code in this book works for JDK 8 and above, the code is tested on JDK 11. Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analysis. By the end of the book, you will have explored related web resources and technologies that will help you take your learning to the next level. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data. What you will learnDiscover key Java machine learning librariesImplement concepts such as classification, regression, and clusteringDevelop a customer retention strategy by predicting likely churn candidatesBuild a scalable recommendation engine with Apache MahoutApply machine learning to fraud, anomaly, and outlier detectionExperiment with deep learning concepts and algorithmsWrite your own activity recognition model for eHealth applicationsWho this book is for If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications with ease. You should be familiar with Java programming and some basic data mining concepts to make the most of this book, but no prior experience with machine learning is required.

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Page Count

290

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788473892

ISBN 13

9781788473897

Natural Language Processing with Java

Techniques for building machine learning and neural network models for NLP, 2nd Edition

By: Richard M. Reese,AshishSingh Bhatia

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Natural Language Processing with Java

Techniques for building machine learning and neural network models for NLP, 2nd Edition

By: Richard M. Reese,AshishSingh Bhatia

Explore various approaches to organize and extract useful text from unstructured data using Java Key Features Use deep learning and NLP techniques in Java to discover hidden insights in text Work with popular Java libraries such as CoreNLP, OpenNLP, and Mallet Explore machine translation, identifying parts of speech, and topic modeling Book Description Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes. You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more. By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications. What you will learn Understand basic NLP tasks and how they relate to one another Discover and use the available tokenization engines Apply search techniques to find people, as well as things, within a document Construct solutions to identify parts of speech within sentences Use parsers to extract relationships between elements of a document Identify topics in a set of documents Explore topic modeling from a document Who this book is for Natural Language Processing with Java is for you if you are a data analyst, data scientist, or machine learning engineer who wants to extract information from a language using Java. Knowledge of Java programming is needed, while a basic understanding of statistics will be useful but not mandatory.

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Page Count

308

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788993063

ISBN 13

9781788993067

Natural Language Processing with Java

Techniques for building machine learning and neural network models for NLP, 2nd Edition

By: Richard M. Reese,AshishSingh Bhatia

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Natural Language Processing with Java

Techniques for building machine learning and neural network models for NLP, 2nd Edition

By: Richard M. Reese,AshishSingh Bhatia

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N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

308

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788993063

ISBN 13

9781788993067

Machine Learning with R Cookbook

Analyze data and build predictive models

By: AshishSingh Bhatia,Yu-Wei, Chiu (David Chiu)

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Machine Learning with R Cookbook

Analyze data and build predictive models

By: AshishSingh Bhatia,Yu-Wei, Chiu (David Chiu)

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

564

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1787287807

ISBN 13

9781787287808

Machine Learning in Java

Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

By: AshishSingh Bhatia,Bostjan Kaluza

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning in Java

Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

By: AshishSingh Bhatia,Bostjan Kaluza

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

290

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788473892

ISBN 13

9781788473897

Machine Learning with R Cookbook - Second Edition

By: Ashishsingh Bhatia

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Machine Learning with R Cookbook - Second Edition

By: Ashishsingh Bhatia

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R codeAbout This Book* Apply R to simplify predictive modeling with short and simple code* Use machine learning to solve problems ranging from small to big data* Build a training and testing dataset, applying different classification methods.Who This Book Is ForThis book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful.What You Will Learn* Create and inspect transaction datasets and perform association analysis with the Apriori algorithm* Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm* Compare differences between each regression method to discover how they solve problems* Detect and impute missing values in air quality data* Predict possible churn users with the classification approach* Plot the autocorrelation function with time series analysis* Use the Cox proportional hazards model for survival analysis* Implement the clustering method to segment customer data* Compress images with the dimension reduction method* Incorporate R and Hadoop to solve machine learning problems on big dataIn DetailBig data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier.Style and approachThis is an easy-to-follow guide packed with hands-on examples of machine learning tasks. Each topic includes step-by-step instructions on tackling difficulties faced when applying R to machine learning.

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Solve jigsaw puzzle

Age

Page Count

572

Published Date

ISBN 10

1787284395

ISBN 13

9781787284395

Book's by Ashishsingh Bhatia

Machine Learning with R Cookbook

Machine Learning with R Cookbook

Machine Learning in Java

Machine Learning in Java

Natural Language Processing with Java

Natural Language Processing with Java

Natural Language Processing with Java

Natural Language Processing with Java

Machine Learning with R Cookbook

Machine Learning with R Cookbook

Machine Learning in Java

Machine Learning in Java

Machine Learning with R Cookbook - Second Edition

Machine Learning with R Cookbook - Second Edition

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