The Best Algorithm to Start with Machine Learning

A good start point for Machine Learning is Linear Regression. By studying the Linear Regression algorithm, you will learn:

  • Supervised Learning
  • Loss Functions
  • Loss Functions minimization
  • Regularization

These concepts are not exclusive to Linear Regression. They apply to other learning algorithms as well.

By creating and deploying Linear Regression models, you acquire engineering skills that are common to most Machine Learning systems.

Also, you won’t need advanced math to start with Machine Learning nor memorize Machine Learning algorithms details.

Just a brush on Calculus and Linear Algebra will do the job. And most programming languages have Machine Learning libraries that already implemented these algorithms for you. 

Therefore, you can focus on the engineering process of cleaning data, feature engineering, model selection, and deployment.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s