2021 Roadmap to Machine Learning

 2021 Roadmap to Machine Learning

 We all know that machine learning is the most trending technology at present time. Many businesses are using this technology for increasing their productivity and why not use machine learning, as many tech legends companies like google, apple, Facebook, Amazon, Tesla, Nasa, etc are also using machine learning.

So, it simply means that if you know machine learning then you will be having multiple opportunities in the tech field. Now the question that rises in your mind is how to learn machine learning or what is the 2021 Roadmap to Machine Learning. So here are the complete steps by which you can learn machine learning in a year.

 

2021 Roadmap to Machine Learning

 

1. Mathematics

Well, machine learning is all about mathematics. To understand the working of different ml algorithms such as linear regression, logistic regression involved in machine learning you had to know the maths working behind it first. Because maths is the base of machine learning. So if you wanted to know the amount of mathematics required for machine learning then check this post Mathematics for machine learning.

2. Programming Language

 

If you are done with the mathematics then you can move to the next step which is programming languages. Now when you have got the idea about the working algorithms involved in machine learning, then it's time to know how to implement them. So for implementing machine learning algorithms you should have a strong command of at least 1 programming language.

Now the question that arises is which programming language is best for machine learning and the answer to that question is Python. For machine learning, data science, deep learning python holds 1st position. Python gives you the platform from which you can easily build your machine learning models. You can use machine learning libraries such as Tensorflow, Pytorch, OpenCV, etc. easily by python. Moreover, Python has a very large community and support.

3. Algorithms and Data structure

Just like machine learning is incomplete without mathematics, the same is the case with programming. For machine learning, you should have a strong command of 1 programming language and for having a strong command of the language, you had to learn data structures and algorithms. Look in machine learning you will be dealing with a lot of amount of data and to use that data for your machine learning model you should be aware of the data structure.

Now the second thing is algorithms, as we had discussed previously you are going to deal with various algorithms in machine learning, But what if you wanted to create your algorithm for your machine learning model. Then learning about algorithms is the answer. 

 

4. ML libraries

Now when you have done with the programming, mathematics, data structure it's time to learn about the machine learning libraries such as Tensorflow, PyTorch, OpenCV, etc. Now it depends upon you for what purpose you are making the machine learning model. For example, if you are making an ml model for image recognition then you will working images and for working with images you will be using OpenCV, Numpy, etc.

Just like that when you are dealing with a large amount of row and column data then you will be using pandas. So there are different ml libraries for different works, now it depends on you which one you will be using.

So this is whole 2021 Roadmap to Machine Learning.