How I Learned AI For Free (And You Can Too!)

The video discusses the speaker's journey in learning machine learning without formal education, highlighting three key resources: Andrew Ng's Coursera course, Fast.ai's deep learning courses, and Kaggle competitions. Each resource is described in terms of its content, benefits, and how it contributed to the speaker's understanding and application of machine learning concepts.

What was the speaker's educational background in machine learning during their undergraduate studies?

• They took several machine learning classes.

• They did not take any machine learning classes.

• They majored in machine learning.

• They completed a machine learning internship.

Which platform offers a course by Andrew Ng that is popular among self-taught machine learning developers?

• edX

• Udacity

• Coursera

• Khan Academy

What is a key feature of Andrew Ng's Machine Learning course?

• Focus on deep learning only

• Teaches only theoretical concepts

• Requires a MATLAB subscription

• Offers a certificate for free

What is the primary focus of Fast.ai's Practical Deep Learning courses?

• Learning about hardware for AI

• Quickly developing accurate algorithms

• Understanding the math behind algorithms

• Developing new machine learning theories

What resource does Fast.ai provide to help students with their courses?

• A dedicated textbook

• A moderated online forum

• Free personal tutoring

• Weekly live webinars

What is Kaggle primarily known for?

• Offering free online courses

• Providing data science competitions

• Selling machine learning software

• Publishing AI research papers

How does Kaggle help new developers in machine learning?

• Through free online courses

• By providing one-on-one mentorship

• Through small competitions for beginners

• By offering free textbooks