How to Learn Machine Learning Online Free in 2024?

So you want to learn machine learning but are stuck with a question, "How to Learn Machine Learning Online Free?". Then don't worry. 

Table Of Contents

- What is Machine Learning?

- What is the Use of Machine Learning Algorithms?

- Steps Required in Machine Learning Self-Starter Way

... That means Machines are Learning something. Right?

Machine Learning (ML) algorithms allow machines to learn in the same way a human learns. 

And Machine learning models learn from training data or from self-experiences.

You can consider the machine learning model as a "Newborn child." The newborn child learns from his parent's instructions or by his self-experiences. He tries to walk but he falls. And then again tries to walk, similarly Machine Learning Works.

Machine learning models learn from training data and predict the output. Based on the predicted output, it improves model accuracy by predicting again.

There are a lot of data available in today's world. In fact, we are living in Data Age. This Data is generated not only by humans but also by computers. A huge amount of data is generated daily.

According to one report, By 2025, it's estimated that 463 exabytes of data will be created each day globally. 

That's the equivalent of 212,765,957 DVDs per day!

So, What is the use of this Huge amount of Data?

Is it garbage?

No!

This huge amount of data contains various useful pieces of information. But, the next question is how to find useful information from the vast amount of Data?

And the answer is-

With the help of Machine Learning algorithms.

That's why Machine Learning is very powerful and popular. Many people are shifting their careers into the ML field. And the future of Machine learning is very bright.

Now you understood the importance of machine learning. I know now you are ready to know, "How to learn Machine Learning Online Free?"

Let's see the machine learning self-starter way-

Learning machine learning by self if almost similar to machine learning algorithms functionality.

Do you know, why?

Because, in the self-starter way, we learn machine learning concepts by ourselves, then we try to implement our learning by working on hands-on projects. We do some mistakes, then we work on our mistakes, and implement them again.

The following steps are necessary for machine learning self-starter way-

1. Understand Prerequisites

2. Learning

3. Practicing

1. Programming Language

Machine Learning is all about implementation. And if you don't have programming knowledge, you can't implement anything. That's why knowledge of programming language is compulsory for machine learning. For Machine Learning, the most popular programming languages are Python, R, Java, and C++. As a beginner, you can start with Python.

2. Mathematics

Knowledge of Mathematics is very important in order to understand how machine learning and its algorithms work. In math, the most important topics are-

- Probability and Statistics

- Linear Algebra

- Calculus

a). Probability and Statistics

Probability and statistics are used in Bayes' Theorem, Probability Distribution, Sampling, and Hypothesis Testing.

b). Linear Algebra

Linear Algebra has two important terms - Matrices and Vectors. They are both used widely in Machine Learning. Matrices are used in Image Recognition.

c). Calculus

In Calculus, you have Differential Calculus and Integral Calculus. These terms help you to determine the probability of events. For example, finding the posterior probability in the Naive Bayes model.

(.. to be continued)