Covers: implementation of Probabilistic Classifier
Estimated time needed to finish: 30 minutes
Questions this item addresses:
  • How do you build a probabilistic classifier step-by-step?
How to use this item?

Watch from 31:30-1:01:00 and try out the implementation if you are interested.

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Introduction To Probabilistic Classifiers

Total time needed: ~44 minutes
Provide background to newcomers to NLP about probabilistic classifiers.
Potential Use Cases
The user of this shortlist is someone new to NLP who needs to build a classifier and wants to compare the usefulness of different types of classifiers.
Who is This For ?
BEGINNERNewcomers to machine learning and natural language processing.
Click on each of the following annotated items to see details.
ARTICLE 1. Probabilistic Classification
  • What is probabilistic classification?
2 minutes
ARTICLE 2. Probability and Machine Learning? — Part 1- Probabilistic vs Non-Probabilistic Machine Learning Models
  • What is the difference between probabilistic and non-probabilistic machine learning?
5 minutes
PAPER 3. Understanding Probabilistic Classifiers
  • Why do probabilistic classifiers with simplifying assumptions still work?
7 minutes
VIDEO 4. Build a Probabilistic Classification using Scikit-learn | Machine Learning Tutorials | Codegnan
  • How do you build a probabilistic classifier step-by-step?
30 minutes

Concepts Covered

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