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code/artificial_intelligence/src/getting_started_with_ml/README.md

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I decided to collect resources and concentrate them to form a basic roadmap, to help other beginners like myself, who would like to explore the field further and not feel lost.

Topics touched in the post:

  • Introduction to my background to give you an idea.
  • Why ML?
  • Essentials to get an extensive insight into machine learning.
  • "What is ML" and surrounding misconceptions.
  • A basic roadmap I devised, for anybody who wishes to pursue this art further.

Gist of the roadmap:

  1. Learn and/or revise Math.
  2. Learn Python.
  3. Get acquainted to Python libraries.
  4. Code, code, and code.
<p> For deeper insights, refer to <a href="https://iq.opengenus.org/how-i-mastered-ml-as-fresher/">How I mastered ML as a freshman</a> </p>
<p align="center"> A massive collaborative effort by the <a href="https://github.com/OpenGenus/cosmos">OpenGenus Foundation</a> </p>