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Text Classification with fastText and machine learning
Rating: 3.5 out of 5(33 ratings)
979 students

Text Classification with fastText and machine learning

Text Classification with fastText and machine learning
Created byEvergreen Technologies
Last updated 12/2019
English
English [Auto],

What you'll learn

  • Run text classification on big corpus

Course content

4 sections • 22 lectures • 1h 49m total length

  • Overview0:31

    Explore text classification with fastText and machine learning, its importance, and practical use cases, then examine how learning can solve it and the fundamentals and techniques that underpin text classification.

  • What is Text Classification?10:21

    Explore how text classification assigns documents to categories using examples like recipes and reviews, compare rule-based methods with machine learning, and learn practical search and organization benefits.

  • Machine Learning to the rescue3:48

    Learn how machine learning classifies text by training on labeled data, builds a model to predict new documents with high accuracy, and scales to handle vast datasets without explicit rules.

  • Machine Learning Basics5:34

    Master machine learning basics by teaching machines to recognize patterns in data and predict future behavior, with examples like self-driving cars, facial recognition, medical diagnosis, and market prediction.

  • Machine Learning Techniques10:53

    Explore supervised and unsupervised machine learning techniques, including linear regression, logistic regression, gradient descent, and clustering, with examples like housing prices, spam detection, sentiment analysis, and collaborative filtering for recommendations.

  • Word Embeedings13:34

    Learn how word embeddings convert words from one-hot encoding to dense vectors learned by a neural network, using windows to predict and enable king minus queen plus man equals woman.

  • About Author7:05

    Discover beginner-friendly machine learning and deep learning fundamentals across computer vision, natural language processing, image processing, and elastic search, with open source code and step-by-step notebooks from Evergreen Technologies.

  • Summary0:37

    Explore the basics of machine learning and how embeddings convert words into numbers to enable text classification using several machine learning techniques.

Requirements

  • python
  • MAC

Description

Learn the text classification with the machine learning and fasttext.

Build a strong foundation in Machine Learning with this tutorial.

  • Understanding of text classification

  • Leverage Machine Learning to classify text

  • Use fastText for training and prediction

A Powerful Skill at Your Fingertips  Learning the fundamentals of text classification 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 document classification 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. Document classification is vital in information retrieval, sentiment analysis and document annotation.  Learning document classification 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 text classification with machine learning in information retrieval, content ranking, sentiment analysis and ad targeting in social platforms. They claimed that using Machine Learning and text classification has boosted productivity of entire company significantly.


Content and Overview  

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

Introduction to text classification.

Introduction to Machine Learning

Training fastText model using cooking recipe dataset

Tune the accuracy of  model

Learn variation of  model

Learn use cases of fasttext


What am I going to get from this course?

  • Learn text classification with fasttext and Machine Learning programming from professional trainer from your own desk.

  • Over 10 lectures teaching you document classification programming

  • 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.

Who this course is for:

  • Beginner data scientist or machine learning ethusiasts

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