Learn the word embeddings with the machine learning and fasttext.

Description

Build a strong foundation in Machine Learning with this tutorial.

• Understanding of word embeddings

• Leverage Machine Learning to generate word embeddings

• Use fastText for training word vectors

• Use fastText word embeddings for similarity measure and word analogies

A Powerful Skill at Your Fingertips  Learning the fundamentals of word embeddings puts a powerful and very useful tool at your fingertips. fastText is free, easy to learn, has excellent documentation.

Jobs in machine learning area are plentiful, and being able to learn word embeddings with machine learning will give you a strong edge.

Machine Learning is becoming very popular. Alexa, Siri, IBM Deep Blue and Watson are some famous example of Machine Learning application. Understanding word embeddings is vital in information retrieval, sentiment analysis and document annotation.  Learning word embeddings with machine learning will help you become a machine learning developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using word embeddings with machine learning in information retrieval, content ranking, sentiment analysis and ad targeting in social platforms. They claimed that using Machine Learning and word embeddings has boosted productivity of entire company significantly.

Content and Overview  

This course teaches you on how to build word embeddings using open source fastText framework.  You will work along with me step by step to build following answers

Introduction to word embeddings.

fastText deepdive

Training fastText model

Tune the accuracy of  model

Learn variation of  model

Learn use cases of fasttext

What am I going to get from this course?

• Learn word embeddings with fasttext and Machine Learning programming from professional trainer from your own desk.

• Over 10 lectures teaching you word embeddings

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

• Beginner data scientist or machine learning ethusiasts

Course content

• Introduction
  • Section I Overview
  • Introduction to Word Embeedings
  • fastText Overview
  • Section I summary
• fastText in depth
  • Section II Overview
  • fastText deepdive
  • fastText Models
  • Section II summary
• Install fastText
  • Section III Overview
  • Set up fasttext
  • Preparing data
  • Section III Summary
• fastText in action
  • Section IV Overview
  • Training Word vectors
  • Similarity Measure
  • Word Anologies and character n-grams
  • Endless Possibilities