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How to learn Data Science / Machine Learning / Artificial Intelligence — (Schedule for you to become expert)

 Bird’s eye view

To become good at something we need to start from the beginning so if you want to expert in Machine learning / Data Science / Artificial Intelligence you will have to start from the beginning. Some words from the experts: “Everyone is learner so don't panic go with flow”.

  • For newcomers, programming languages like python, statistics, machine learning algorithms.
  • For transitional, advanced machine learning algorithms are required to be understood.
  • Practicing with datasets and an online kaggle profile are helpful in practicing your skills.

Learning Path — Schedule for you

Getting started →Statistics → Programming language →Basic of ML →Practice.

It will take you 6–7 months to be an expert or as an expert then you can compete anywhere in the competition. Let’s talk about the steps of how you should proceed

  • Getting Started: For this, you have to know why do you want to learn ML or data science, for doing that just connect with experienced people in the field of ML or data science on some social platforms like Linkedin, Facebook. I preferred you to connect on Linkedin.
  • Statistics: For this learn some statistics course from Stanford or MIT online course they are the best.
  • Programming language: You should know how to code in python or R.I code on python so I prefer python over anything
  • Basics of ML: Read about algorithms used in machine learning very often.
  • Practice: After all the steps above now you are ready for going out and show your talent or what you had learned. For that just practice on Kaggle or Hacker earth also hosts some machine learning contest.

Just do above 5 steps and you will be pro :)

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