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Last active January 7, 2022 16:40
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A four week study plan to get started with machine learning
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curriculum.md

Week 1

  • Revision of basic programming with Python, for loops, if-else statements, etc. Basic stuff
  • Mathematical libraries such as Numpy, Pandas, Matplotlib.

Week 2

  • Basic Machine Learning concepts
  • What is the difference between Supervised and Unsupervised learning?
  • What are Regression and Classification?
  • How do you define a Machine Learning model?
  • What do you mean by training and testing a model?]

Week 3

  • In the third week, we dive deeper into the mathematics behind the techniques (like gradient descent) that we earlier discussed.
  • How does the different training algorithms work?

Week 4

  • Introduction to Neural Networks.
  • Why do we need the concept of a Neural network? What's the intuition behind an artificial neuron?
  • The McCulloh Pitts Neuron
  • Deep Neural Networks and how they work?
  • What are weights in a neural network?
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