Before you go further

Event in probability is just a non-deterministic output of some random experiment. Tossing a coin is a random experiment whose output is an event and it cannot be determined before tossing it. Therefore, it is a non-deterministic machine experiment. Generating a random number using a code…

Introduction

Managing your software is always more important than developing it. This requires following thousands of coding standards and handling hundreds of vulnerabilities and edge cases. One of the features of programming languages that helps you in your software development lifecycle is assertions. Assertions are logical functions to check whether…

What I will discuss:

  • What is feature engineering and dimensionality reduction
  • Variance and Central Tendency (Mean)
  • Covariance
  • How can you use this in Machine Learning
  • Conclusion

Feature Engineering and dimensionality reduction

Feature engineering is probably one of the most crucial step that you need to take before processing the input matrices of features in Machine Learning model. Feature engineering…

There exist hundreds of applications where you need to find the length or magnitude of a certain vector whether it being a school physics problem statement, a real life scenario or even the Machine Learning itself. Magnitude of vectors have solved many problems, especially in Machine Learning that have helped…

When we hear the word 'matrix' , it pretty much draws an intuition of a rectangular array of numbers or that’s what the books call it.

When studying the chapter of Matrix in school mathematics, who might have guessed that this rectangular representation of numbers is what AI is hunting…

Maaz_Bin_Asad

I write blogs, poems and codes | I find myself in Machine Learning | Electronics Engineering (ZHCET)

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