Machine Learning and its certification is in talks amongst all young aspirants. 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. Students across the country are taught the basics of C++ in their schools itself, thus, this establishes a better foundation and helps in early logic building. This is why having a good command over C++ acts as a supporting element for Machine Learning certification.
Here we have done an in-depth analysis of what can be needed for pursuing the machine learning certification.
Statistics
A machine learning expert will have to be familiar with:
- Mean
- Median
- Standard deviation
- Outliers
- Histogram
Probability
In machine learning certification, you will be 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
In machine learning certification, the following concepts of Algebra are covered
- Algorithms in code
- Linear transforms
- Notations
- Matrix multiplication
- Tensor and tensor rank
Bash Terminal / Cloud Console
When pursuing the ML course, you should be comfortable with:
- Bash Reference Manual
- Bash Cheatsheet
- Learn Shell
Calculus
Calculus is another way for you to aim for a machine learning career, thus, you should have a 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.
