Joydeep Bhattacharjee's Books

Practical Machine Learning with Rust

Creating Intelligent Applications in Rust

By: Joydeep Bhattacharjee

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Practical Machine Learning with Rust

Creating Intelligent Applications in Rust

By: Joydeep Bhattacharjee

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.

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Page Count

362

Publisher

Apress

Published Date

ISBN 10

1484251210

ISBN 13

9781484251218

fastText Quick Start Guide

Get started with Facebook's library for text representation and classification

By: Joydeep Bhattacharjee

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fastText Quick Start Guide

Get started with Facebook's library for text representation and classification

By: Joydeep Bhattacharjee

Perform efficient fast text representation and classification with Facebook's fastText library Key Features Introduction to Facebook's fastText library for NLP Perform efficient word representations, sentence classification, vector representation Build better, more scalable solutions for text representation and classification Book Description Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects. What you will learn Create models using the default command line options in fastText Understand the algorithms used in fastText to create word vectors Combine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline Explore word representation and sentence classification using fastText Use Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently Develop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch Who this book is for This book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required.

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Page Count

183

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1789136717

ISBN 13

9781789136715

fastText Quick Start Guide

Get started with Facebook's library for text representation and classification

By: Joydeep Bhattacharjee

Write a review Read reviews Take a Quiz Solve Book Puzzle

fastText Quick Start Guide

Get started with Facebook's library for text representation and classification

By: Joydeep Bhattacharjee

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

183

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1789136717

ISBN 13

9781789136715

Book's by Joydeep Bhattacharjee

Practical Machine Learning with Rust

Practical Machine Learning with Rust

fastText Quick Start Guide

fastText Quick Start Guide

fastText Quick Start Guide

fastText Quick Start Guide

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