Covers: theory of Discriminative Classifier
Estimated time needed to finish: 3 minutes
Why this is worth your time
An easy concept that can be easily learnt through reading wikipedia.
How to use this item?

Simply read about the sections you might be interested in.

Author(s) / creator(s) / reference(s)
wikipedia
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Learning Logistic Regression

Contributors
Total time needed: ~2 hours
Objectives
Learn a key model in Supervised Machine Learning and pave your way for future Machine Learning endeavers
Potential Use Cases
Binary/multinomial classification; Understanding Neural Networks
Who is This For ?
BEGINNER
Click on each of the following annotated items to see details.
VIDEO 1. StatsQuest - Logistic Regression
StatsQuest provides a series of videos that clearly explains concepts in way that is easy to understand.
10 minutes
BOOK_CHAPTER 2. Speech and Language Processing
This is an available free e-book from a trustworthy institute. Readers should consider this book as a great resource for learning some key concepts and NLP.
50 minutes
BOOK_CHAPTER 3. Interpretable Machine Learning
This is an available free e-book with clear explanations
30 minutes
ARTICLE 4. Wikipedia - Discriminative Model
An easy concept that can be easily learnt through reading wikipedia.
3 minutes
ARTICLE 5. Wikipedia - Supervised Learning
An easy concept that can be easily learnt through reading wikipedia.
3 minutes
ARTICLE 6. Wikipedia - Linear Classifier
An easy concept that can be easily learnt through reading wikipedia.
3 minutes

Concepts Covered

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