How to learn machine learning?

You have various options where you can learn machine learning, you can learn through online content and free tutorials and you can learn with particular programs which are offered by various institutes. When you will go for start you learning before this you have an idea what concepts are required to learn

So here I will tell you about the required concepts and topics for this field. These are-

  1. Mathematics
  2. Statistics
  3. Linear Algebra
  4. Calculus
  5. Matrix Operations
  6. Probability
  7. Data Modeling
  8. Programming skills- Python, C, C++, R
  9. Algorithms
  10. Applying ML Libraries
  11. Supervised and Unsupervised Learning and Linear Regression and Time Series. And many more.

You have to join a particular course if you don’t have any knowledge about the concepts which are required to learn. So here I would give a few names of institutes that provide courses for learning ML and their courses are also helpful to pursue your career in this field. These are-

  1. Learnbay
  2. Simplilearn
  3. Edureka
  4. Coursera
  5. Jigsaw Academy
  6. Intellipaat

These are the institutes that provide different courses and make your machine learning so interesting and easier. If you want to know the best one with a pocket-friendly amount then I would Recommend you Learnbay Platform to learn ML and the various concepts through their courses with their experts.

There are different career tool courses on Learnbay which are helpful for you if you are a beginner or a working professional their courses are suitable for all those who are interested to learn-

Artificial Intelligence and Machine Learning program-

They offered this program for aspirants having 5+ years of experience. They provide 10 + real-time projects.

This program has 8 months duration

If you are a beginner or have less than 1 year of work experience then you can join this basic program which is Data Science and Artificial Intelligence program. This program has 6 months of duration. They provide 12 + real-time projects.

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