Introduction to Natural Language Processing – Part 1

Introduction to Natural Language Processing – Part 1, Fundamentals of Natural Language Processing in Python from Scratch.

Course Description

You’ve just stumbled upon the most complete introduction to Natural Language Processing.

Whether you want to:

– build the skills you need to get your first NLP programming job

– move to a more senior software developer position

– become a computer scientist mastering in computation

– or just learn NLP to be able to create your own Haskell apps quickly.

…this complete NLP Masterclass is the course you need to do all of this, and more.

This course is designed to give you the NLP skills you need to become a NLP analyst. By the end of the course, you will understand NLP extremely well and be able to build your own NLP apps and be productive as a computer scientist and software developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Haskell developer course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core NLP skills and master functional programming. It’s a one-stop shop to learn NLP. If you want to go beyond the core content you can do so at any time.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

  • Basics of NLP: Overview of the field of NLP, its applications, and key challenges.
  • Text Preprocessing: Techniques for cleaning, tokenizing, normalizing, and filtering text data.
  • Language Modeling: Understanding and building statistical language models.
  • Information Extraction: Techniques for extracting structured information from unstructured text, including named entity recognition, entity linking, and relation extraction.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Ready to get started, developer?

Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced Haskell brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, NLP is waiting!)


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