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NLP Natural Language Processing Fundamentals in Python


Welcome to your first step into the Natural Language Processing and Text Mining world! This is your risk-free approach (30-day refund policy) to delve deep into the fundamentals which Google, Amazon and Microsoft base themselves on when working with text data. Natural Language Processing is one of the most exciting fields in Data Science and Analytics nowadays. The ability to make a computer understand words and phrases is a technological innovation that brought a huge transformation to tasks such as Information Retrieval, Translation or Text Classification. In this course we are going to learn the fundamentals of working with Text data in Python and discuss the most important techniques that you should know to start your journey in Natural Language Processing.

Natural language processing with NLTK and python


GETTING STARTED Natural language toolkit (NLTK) is the most popular library for natural language processing (NLP) which was written in Python and has a big community behind it. NLTK also is very easy to learn, actually, it's the easiest natural language processing (NLP) library that you'll use New What you'll learn Description This course is aimed at people who are new to natural language processing (NLP). The course has two main sections, the first section explains all of the main concepts such as tokenization, parts of speech tagging, named entity extraction and so on with examples and code, the second section looks at ideas like text summarization and sentiment analysis and how we can use the core concepts from part one to solve these problems.

Why is now the time for artificial intelligence?


The reality did not live up to the expectations set by science fiction. Accordingly, for many years, the majority of people's understanding of A.I. was confined to university laboratories, corporate skunk works, research parks, and that movie with Haley Joel Osment and Jude Law. Attempts to introduce A.I. products and services into the marketplace and for the broader benefits of society were ill-fated. Computing power was insufficient, and the abundance of structured data -- let alone a knowledge of what to do with said data -- was not yet upon us. A.I. has been on the cusp of the mainstream for the past 40 years, but 2016 is the year it's become a buzzword -- incorporating machine learning, natural language processing, voice recognition, and data mining, to name a few technologies.

Data Science:Data Mining & Natural Language Processing in R


Data Science:Data Mining & Natural Language Processing in R, Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples Created by Minerva SinghPreview this Course - GET COUPON CODE 100% Off Udemy Coupon .

12 of the best free Natural Language Processing and Machine Learning educational resources - AYLIEN


Advances in of Natural Language Processing and Machine Learning are broadening the scope of what technology can do in people's everyday lives, and because of this, there is an unprecedented number of people developing a curiosity in the fields. And with the availability of educational content online, it has never been easier to go from curiosity to proficiency. We gathered some of our favorite resources together so you will have a jumping off point into studying these fields on your own. Some of the resources here are suitable for absolute beginners in either Natural Language Processing or Machine Learning, and others are suitable for those with an understanding of one who wish to learn more about the other. The resources on this post are 12 of the best, not the 12 best, and as such should be taken as suggestions on where to start learning without spending a cent, nothing more!