How to Become Machine Learning Expert in 2021

Machine Learning which is a subset of Artificial Intelligence requires skills related to subjects like Mathematics, Statistics, Computer Science, Domain understanding and to some extent expertise on atleast one set of tool. Experts are considered to be someone with a great deal of knowledge or skill in a particular area.

I would rather not limit my answer by being very specific and setting a fixed timeline for becoming an expert. I would list down some important points which would help the readers estimate the time required to master it. Becoming an expert in any particular field requires considerable investment of time and perseverance. It would also benefit the readers a lot by understanding where they stand with respect to machine learning skill currently, so that the path is clearer.

I will preferably divide the path to becoming an expert into - basic, intermediate, advanced and expert.

The following 8 steps can help in your journey to coming close the becoming an expert in machine learning

1. Understand the basics of machine learning

2. Learning the statistics related to machine learning certification course.

1. Learn either Python or R for data analysis
2. Complete an exploratory analysis of a project
3. Create supervised learning models
4. Create unsupervised learning models
5. Exploring deep learning models
6. Undertake and complete a big data project

Alternately, you can enroll for some of the online/classroom training institutes which can help you in bringing about the discipline required to go through the above steps.

I will try to explain the above steps and the things which needs to be covered. This information will help you get some clarity about the time needed by each and every individual. On a personal note, I would recommend 8-11 months to cover these topics in depth.

Dedicate some time to make yourself aware about the field of machine learning. You may already have ideas and some sort of understanding about what the field is, but if you want to become an expert, you need to understand the finer details to a point where you can explain it in simple terms to just about anyone. Understanding of the below points can help.

• What is Analytics?
• What is Data Science?
• What is Big Data?
• What is Artificial Intelligence?
• How are the above domains different from each other and related to each other?
• How are all of the above domains being applied in the real world?

One cannot just ignore the statistical concepts while trying to understand machine learning. The below concepts in statistics would become very helpful when you try to understand the theory behind machine learning techniques.

• Data structures, variables and summaries
• Sampling
• The basic principles of probability
• Distributions of random variables
• Inference for numerical and categorical data
• Linear, multiple and logistic regression

Programming can be easier to learn, more fun in case you have some background in coding. While mastering a programming language could be an eternal quest, at this stage, you need to get familiar with the process of learning a language and that is not too difficult.

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