Hands on Natural Language Processing with Tensorflow: Concepts and Applications

by Michael Walker

***** BUY NOW (will soon return to 22.77 $) ***** Are you thinking of learning more Natural Language Processing (NLP) using TensorFlow? (For Beginners)This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach.This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using NLP.

From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations.

Target UsersThe book designed for a variety of target audiences. The most suitable users would include:
Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field.
Software developers and engineers with a strong programming background but seeking to break into the field of Data Science and NLP.
Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird's eye view of current techniques and approaches.


What's Inside This Book?
Introduction to Natural Language Processing
What is Natural Language Processing
Perspectivizing NLP: Areas of AI and Their Interdependencies
Purpose of Natural Language Processing
Text Manipulation
Tokenization
Stemming
Lemmatization
Normalization
Accessing Text Corpora and Lexical Resources
Processing Raw Text
Categorizing and Tagging Words
NLP Applications
Text Classification
Sentiment Classification
Topic Modelling
Question Answering
Speech Recognition
Machine Translation
Word Representation
Bag of Words
One-Hot Encoding
Word Vectors Representation
Word2Vec and GloVe
Learning to Classify Text
Supervised Classification
Decision Trees
Naive Bayes Classifiers
Maximum Entropy Classifiers
Deep Learning for NLP
What is Deep Learning
Feed Forward Neural Networks
Recurrent Neural Networks
Gated Recurrent Unit
Long Short Term Memory
Language Processing and Python using NLTK
Introduction to TensorFlow Text Classification
Frequently Asked Questions

Q: Does this book include everything I need to become a NLP expert?A: Unfortunately, no. This book is designed for readers taking their first steps in NLP and further learning will be required beyond this book to master all aspects of NLP.

Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. ***** MONEY BACK GUARANTEE BY AMAZON ***** Editorial ReviewsMicheal Walker has a broad and deep knowledge of data science and Natural Language Processing. This book is an excellent introduction and helpful small book in Natural language processing. This is a great resource for quick and insightful tips for your NLP challenges.
A. Perrier, Senior Strategy Consultant - Natural Language Processing, IBM


You didn't need to have python and machine learning experience to get maximum benefit from this book. I would argue that even those with less Machine Learning experience can learn a lot from the book. This is a useful resource to have next to your computer in your day to day work.
A. Thomas, Ph.D.

156 pages, Paperback

Published July 31, 2018

About the author

Librarian Note: There is more than one author by this name in the Goodreads database.