Text Classification with fastText and machine learning
Text Classification with fastText and machine learning, available at $49.99, has an average rating of 3.65, with 22 lectures, based on 33 reviews, and has 975 subscribers.
You will learn about Run text classification on big corpus This course is ideal for individuals who are Beginner data scientist or machine learning ethusiasts It is particularly useful for Beginner data scientist or machine learning ethusiasts.
Enroll now: Text Classification with fastText and machine learning
Summary
Title: Text Classification with fastText and machine learning
Price: $49.99
Average Rating: 3.65
Number of Lectures: 22
Number of Published Lectures: 22
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Run text classification on big corpus
Who Should Attend
- Beginner data scientist or machine learning ethusiasts
Target Audiences
- Beginner data scientist or machine learning ethusiasts
Learn the text classification with the machine learning and fasttext.
Build a strong foundation in Machine Learning with this tutorial.
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Understanding of text classification
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Leverage Machine Learning to classify text
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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?
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Learn text classification with fasttext and Machine Learning programming from professional trainer from your own desk.
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Over 10 lectures teaching you document classification programming
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Suitable for beginner programmers and ideal for users who learn faster when shown.
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Visual training method, offering users increased retention and accelerated learning.
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Breaks even the most complex applications down into simplistic steps.
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Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
Course Curriculum
Chapter 1: Introduction to Text Classification
Lecture 1: Overview
Lecture 2: What is Text Classification?
Lecture 3: Machine Learning to the rescue
Lecture 4: Machine Learning Basics
Lecture 5: Machine Learning Techniques
Lecture 6: Word Embeedings
Lecture 7: About Author
Lecture 8: Summary
Chapter 2: Introduction to fastText
Lecture 1: Overview
Lecture 2: fastText Overview
Lecture 3: FastText Training and Prediction overview
Lecture 4: fastText Deep Dive
Lecture 5: Summary
Chapter 3: Set up fasttext and data
Lecture 1: Overview
Lecture 2: Install fastText
Lecture 3: Prepare data
Lecture 4: Summary
Chapter 4: Running Text Classification
Lecture 1: Overview
Lecture 2: Train model and perform prediction
Lecture 3: Improving model
Lecture 4: Python application
Lecture 5: Endless Possibilities
Instructors
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Evergreen Technologies
Software Mentor
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 4 votes
- 3 stars: 9 votes
- 4 stars: 8 votes
- 5 stars: 9 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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