<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Arumugam, Rajesh on Wijnand Baretta</title><link>https://wijnandbaretta.com/authors/arumugam-rajesh/</link><description>Recent content in Arumugam, Rajesh on Wijnand Baretta</description><image><title>Wijnand Baretta</title><url>https://wijnandbaretta.com/images/og-default.png</url><link>https://wijnandbaretta.com/images/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Sun, 13 Nov 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://wijnandbaretta.com/authors/arumugam-rajesh/index.xml" rel="self" type="application/rss+xml"/><item><title>Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications</title><link>https://wijnandbaretta.com/books/hands-on-natural-language-processing-with-python-a-practical-guide-to-applying-deep-learning-architectures-to-your-nlp-applications/</link><pubDate>Sun, 13 Nov 2016 00:00:00 +0000</pubDate><guid>https://wijnandbaretta.com/books/hands-on-natural-language-processing-with-python-a-practical-guide-to-applying-deep-learning-architectures-to-your-nlp-applications/</guid><description>&lt;h1 id="hands-on-natural-language-processing-with-python"&gt;Hands-On Natural Language Processing with Python&lt;/h1&gt;
&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;&amp;ldquo;Hands-On Natural Language Processing with Python&amp;rdquo; by Rajalingappaa Shanmugamani and Rajesh Arumugam is a comprehensive guide designed to help practitioners and enthusiasts dive deep into the world of Natural Language Processing (NLP) using Python. The book covers various deep learning architectures and their application in NLP tasks, offering practical insights and examples. It provides a step-by-step journey from basic NLP concepts to implementing advanced techniques using libraries like TensorFlow and Keras. The authors aim to make complex NLP models and applications accessible by offering hands-on exercises and demonstrations suitable for those looking to practically apply NLP in real-world scenarios.&lt;/p&gt;</description></item></channel></rss>