Machine Learning - How to Get Started the Easy Way

Machine Learning - How to Get Started the Easy Way

Machine learning is one of the most popular topics. It is also hard. This beginner-friendly roadmap will help you start with machine learning the easy way.

Machine learning is one of the most popular topics today. It is also not beginner-friendly, rather the opposite. It is one of those subjects that are hard to start with. This article will give you a roadmap that will help you start with machine learning the easy way. Use the following steps and start learning machine learning today.

Forget the math for now

This may sound as a weird advice since machine learning is based on mathematics and statistics. However, it is the mathematical and statistical side of machine learning that is often the hardest for beginners to swallow. It is not so hard to imagine a guy or girl interested in machine learning. With the current traction of this subject this group is gaining new members every day.

The problem with learning machine learning

Since you are reading this article, you are probably one of these people as well. Now, let’s say you already saw some introductory lecture on machine learning. What is one of the things you will hear in almost every time? The probabilities are quite high that you will hear about mathematics, especially precalculus and calculus, and statistics. How encouraging is hearing any of this if you don’t know anything about these subjects?

Let’s compare it to wanting to learn how to drive a car. So, imagine you want to learn to drive a car. You find someone who already has the necessary knowledge. His answer? Do you know something about internal combustion engines, ignition systems, cooling, changing oil, etc.? Unless you are really passionate about cars, your answer will probably be no.

You are curious and interested in driving and you just want to whet your appetite. Do you really need to know all these and many things right now? The answer is a big no. All you need is the minimum amount of information so you can follow your new interest and try to drive a car. In the case of driving a car, this will be how to start the engine.

Next, you will need to know how to use the steering wheel, pedals, transmission, winker and mirrors. This is all you need at this moment. You don’t need to know anything else, assuming there is an experienced driver in the car with you. Why can’t we apply this approach same to learning machine learning and focus only on the smallest amount information necessary at the moment?

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