You are currently viewing Prerequisites and Pre-Works to Learn Machine Learning!

Prerequisites and Pre-Works to Learn Machine Learning!

Sharing is caring!

Machine Learning and its certification is in talks amongst all young aspirants. Thus, aspirants are willing to eventually learn its know-how and pursue machine learning as their full-time career.

Now, getting the machine learning certification does not require any prior knowledge or specific skills in a domain, but getting some homework done helps you perform better.
So, what are the prerequisites for pursuing a career in machine learning? Let’s understand –

As stated earlier, this course does not require any prior knowledge of machine learning but having a good understanding of the basics helps you clear your doubts and concepts well.
Thus, here’s a short list of prerequisites or pre-works that would work as a cherry on top for students aiming to achieve this certification.

  • Statistics
  • Probability
  • Linear Algebra
  • Calculus
  • Programming Languages

Other than these, the aspiring students must be comfortable with variables, linear equations, graphs, histograms and other statistical equations.
Having prior knowledge of Python is not a hard and fast rule for pursuing the ML certification but having a little hands-on experience is considered ideal for learning the concepts faster.

C++ is a language that is majorly employed in games and large systems, thanks to its portability feature.

Teaching students C++ fundamentals across the nation, a stronger foundation is created and early logic building is aided.

Hence, having a good command over C++ acts as a supporting element for ML certification.

Here, is an in-depth examination of ML certification requirements.


An ML expert is familiar with:

  • Mean
  • Median
  • Standard deviation
  • Outliers
  • Histogram


Is capable of dealing with:

  • Notation
  • Probability, distribution, joint and conditional
  • Different rules of probability—Bayes theorem, sum rule, and product or chain rule
  • Independence
  • Continuous random variables

Linear Algebra

Also, the following concepts of Algebra:

  • Algorithms in code
  • Linear transforms
  • Notations
  • Matrix multiplication
  • Tensor and tensor rank

Bash Terminal / Cloud Console

Besides, the ML expert is comfortable with:

  • Bash Reference Manual
  • Bash Cheatsheet
  • Learn Shell


Last but not least, ML expert is familiar with Calculus with Basic knowledge of:

  • integration and differentiation
  • Partial derivatives
  • Gradient or slope
  • Chain rule—for training neural networks

Machine learning is an emerging field that ensures a successful and satisfying career.

Get enrolled with LearNowX and pursue machine learning with guidance from the biggest industry leaders today.

Leave a Reply