Can a high schooler learn machine learning?

AI can get really complex, so starting with the fundamentals of machine learning is key. I would recommend that high schoolers start with basic linear and logistic regression models with common datasets to really understand how machine learning works.

Can I self teach myself AI?

Even if you don’t have any prior experience in engineering, you can learn artificial intelligence from home and start applying your knowledge in practice, creating simple machine learning solutions and making first steps towards your new profession.

What is the best way to learn machine learning in high school?

However, this learning path does provide content that can keep you learning for the rest of your high school stay. So, lets get to it. 1. Learning Python, which you will code your algorithms in. I strongly suggest Python for this – not only is it extremely easy to learn, it supports pretty much any good library used in Machine Learning.

What is the history of machine learning?

Arthur Samuel coined the term “Machine Learning” in 1959 and defined it as a “Field of study that gives computers the capability to learn without being explicitly programmed”. And that was the beginning of Machine Learning! In modern times, Machine Learning is one of the most popular (if not the most!) career choices.

What math can you not skip when learning machine learning?

Some people prefer to skip Linear Algebra, Multivariate Calculus and Statistics and learn them as they go along with trial and error. But the one thing that you absolutely cannot skip is Python! While there are other languages you can use for Machine Learning like R, Scala, etc. Python is currently the most popular language for ML.

What are the prerequisites for machine learning?

In case you are a genius, you could start ML directly but normally, there are some prerequisites that you need to know which include Linear Algebra, Multivariate Calculus, Statistics, and Python. And if you don’t know these, never fear!