Скачать или смотреть 8. Understanding the Role of NLP in Data Science | Data Science for Beginners | Complete Course

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🔥 Welcome to this Data Science Course for Beginners. 🔥

Natural Language Processing (NLP) is the study of programming computers to process and analyze large amounts of natural textual data. Knowledge of NLP is essential for Data Scientists since the text is an easy-to-use and common container for storing data.
Natural language processing helps computers communicate with humans in their own language and scales other language-related tasks. For example, NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.

Data Is Good is going to help you with this course, if you’re interested in data science but don’t know how to get started, this course will discuss what data science is, why it’s so important, and how you can get your foot in the door with only a few years of experience.

In this video, you will learn about the Role of Machine Learning in Data Science.
The topics covered are given below:

○ Introduction - 0:00
○ What is NLP? - 0:20
○ Components of NLP - 2:13
○ Levels of Ambiguity - 2:36
○ Applications - 3:30
○ Natural Language Generation - 3:47
○ Applications - 4:31
○ Why is NLP important in Data Science - 6:41

Do you know Why data Science is ruling the Software industry?

Many of the most highly paid professionals, such as data scientists and business analysts, use data science to map out what is going on in their organizations. Some even make careers out of it.
Data science has become a hotbed for entrepreneurship where college students and recent graduates can also learn and apply their new skills to start businesses of their own. The ability to forecast trends and predict future outcomes is why recent developments in computers must continue along this track.
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