skill Path[Beta] Machine Learning/AI Engineering Foundations

Machine Learning/AI Engineering is at the forefront of some of the most exciting technologies being developed today. From fraud detection systems to dating apps, machine learning engineering is changing the world. Joining this movement and becoming a Machine Learning Engineer requires a solid foundation in data literacy, programming, mathematics, statistics, and visualization. This Skill Path is that foundation.

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2 months

Includes

Python, Probability, Linear Algebra, Statistics, matplotlib, pandas, and more...

Experience

Beginners welcome

For those who want to

  • Build a foundation in Python
  • Learn how to work with data for machine learning
  • Prepare for the Machine Learning/AI Engineer Career Path

Earn

Certificate of Completion

What will you be able to do?

Here are just a few things you’ll be able to do with this skill.

What will you be able to do?

Here are just a few things you’ll be able to do with this skill.

WRITE PRACTICAL CODE

Use Pandas, Numpy, and matplot lib to solve common data problems.

UNDERSTAND THE NUMBERS

Build a foundation in math and stats to help you make the right machine learning choices.

MAKE A DATA PLAN

Use exploratory data analysis to determine what your data can--and cannot--tell you.

You really feel like there's nothing you can't learn, which in turn builds so much confidence in your skills and gives the momentum to keep learning.

Joey
Codecademy Learner

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