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Preparing for a machine learning course

Author: Saajan Sharma
by Saajan Sharma
Posted: Nov 20, 2020

Indeed, the job portal ranked machine learning engineers, computer vision engineers, and data scientists among the top 25 jobs in 2019. Top 25 ranking may not seem outstanding but it actually is given the fact that Indeed is a platform for all sorts of jobs starting from warehouse managers to dog trainers.

It is some kind of a formality to give some reason in favor of the notion that Machine learning falls among the top skills because by 2020 it is common knowledge. As the applicability of this technology grows so does the enthusiasm among students to board the bandwagon. You can, in fact, join a machine learning or artificial intelligence course online and get certified quite easily. But before you take any such step, it is important to make sure that you do not run out of your depths. There are certain mental and technical faculties that you want to work on before hitting the start button.

How’s your maths?

This question gains relevance to the fields of machine learning and artificial intelligence become more and more inclusive. The applications of ML and AI have expanded beyond the boundaries of IT and well into fields like education, agriculture, public administration, and whatnot. People without a computer science or a STEM background are taking interest in and picking up voluntarily various streams of data analytics and AI. However, this does not change the fact that machine learning depends a lot on your understanding of descriptive and inferential statistics, multivariable calculus, linear algebra, and probability.

While you can pick these skills up along the way while attending an AI or machine learning course, it is better to get a foothold before you start.

Can you code?

Programming skills are often taken for granted among machine learning experts. But the newcomers are often led to believe that they do not need any. Well, if you are operating a preset automation system and reporting the results, you may not need coding skills, but in that case, you are not doing machine learning either.

As a data science professional, you need some coding skills to express your ideas or models. As a machine learning engineer, you need to be pretty good at understanding the fundamentals of computer programming. Python is one of the most popular coding platforms for machine learning and statistical analysis.

Do you know your data?

Data modeling is one of the key components of successful machine learning. Understanding the data set structures and knowing the data pipeline is important. It helps you troubleshoot any bugs that might appear while running algorithms.

Are you prepared for the expenditures?

If you are planning to start a career in AI from scratch with free material from the internet then you need to rethink your strategy. You need instruction and guidance from experts as this is a fairly new field and not everyone knows how to proceed. You should be prepared to spend on multiple courses. Spend some time on the internet and find out Artificial Intelligence course fees in Bangalore, Delhi, and other Indian cities. Prepare the funds. Build your career.

About the Author

Saajan Sharma likes to read and write actively on upcoming HR trends and how HR is reshaping the business landscape. He likes to help businesses stay informed and up to date with established and emerging technologies like Payroll Software, SAP, etc.

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Author: Saajan Sharma

Saajan Sharma

Member since: Jan 17, 2020
Published articles: 23

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