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There are many ways to learn machine learning. One of the most logical ways is by starting with the basics, then building up your knowledge, one level at a time.
By taking a linear approach, this will help you reinforce new knowledge, and you should see a steady progression in your skills.
You can start by learning programming for machine learning. You need to have a working knowledge of programming before you dive into machine learning.
Once you have mastered programming basics, you can move on to data collection and pre-processing in Python. Then you can move on to data analysis in Python.
After that, you can start learning about machine learning with Python and machine learning algorithms in depth. Finally, you can learn about deep learning and work on projects1.
Here are some resources that might help you get started:
- 40 Free Resources to Help You Learn Machine Learning on Your Own
- 10 Best Free Websites To Learn Machine Learning
- 7 Steps to Mastering Machine Learning with Python1
- Massive Open Online Courses (MOOCs)
- Learning from a Textbook
- YouTube
- Khan Academy
- GitHub
- Kaggle
- Elite Data Science
- Dataquest
- Simplilearn1
