Applied ML: Build NLP text embeddings using python

person icon Sanjana

Applied ML: Build NLP text embeddings using python

One of the most important techniques in Natural Language Processing to represent text as meaningful numerical vectors

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Sanjana

architecture icon Development,Python


30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 19,000+ top Tutorialspoint courses anytime, anywhere.

Course Description

Natural Language Processing (NLP) is a subfield of Artificial Intelligence and Machine Learning where we work with unstructured text data - human or machine-generated. If you are new to AI and ML space and would like to know where exactly NLP fits in the bigger picture, I would like to suggest the course "Applied ML: The Big Picture"

But once you've arrived here interested in NLP, I'd like to say you've taken the right step in knowing more about this interesting and challenging field. The language we speak is rich in information across several dimensions, and even realizing these dimensions is a research exercise. For this reason, NLP data is one of the most exciting ones to work with while developing ML models.

Embeddings are just techniques that attempt to decipher some of these dimensions and put them into a numerical format. It's the first and most crucial step before getting into advanced NLP algorithms and tasks such as machine translation, chatbot development, etc.

This course provides the learner with the foundational concepts along with two coding exercises, with attached Jupiter notebooks, to provide a practical experience on the purpose and usefulness of text embeddings. Hopefully, this inspires and prepares the learner to explore more topics in the exciting field of NLP.


What will you learn in this course:

  • Semantics and context in text data
  • Why it's important to embed texts
  • Embedding libraries in python
  • How to find text similarity


What are the prerequisites for this course?

  • Awareness of Natural Language Processing

Applied ML: Build NLP text embeddings using python


Check out the detailed breakdown of what’s inside the course

Introduction to the course
1 Lectures
  • play icon Introduction 01:15 01:15
Embedding algorithms
3 Lectures
Embedding implementations
4 Lectures

Instructor Details



Senior Data Scientist, ML Researcher, Applied ML Instructor and Data Epoch Podcast Host

Hey everyone, I started my career as an NLP Research Engineer with an MNC and later pivoted to more product based roles as a Senior Data Scientist, and got into the startup world as well, where I got to own and apply data and ML at various stages. This gave me a holistic view on how the research and theory in ML space can translate to real business results, when applied the right way.

Course Certificate

User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.

sample Tutorialspoint certificate

Our students work
with the Best



Adithya heshan



jatin kushwaha


Related Video Courses

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us