Machine learning (ML), a branch of artificial intelligence, enables computers to learn from data and improve over time without the need for explicit programming. It can be challenging to master machine learning because it is multidisciplinary and necessitates knowledge of statistics, programming, and mathematics. Still, it is possible if you put in the effort and have the right resources.

Path of Learning

Foundations: Learn the fundamentals of probability, calculus, and linear algebra first.
Learn Python or R, as they are widely used in machine learning.
Study the most important machine learning algorithms and their uses.
Projects: Put your knowledge to use by working on practical tasks and solving actual issues.Resources: For ongoing education, make use of communities, books, and online courses.
The Data Science and Machine learning Course is one option for an organized study path.
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