How much math and programming do you need to take the Deep Learning Specialization on Coursera?

The Deep Learning Specialization is one of the most popular online courses.

Andrew Ng’s goal to train the next million AI experts begins with this Specialization on Coursera. It’s been one of my favorite Specializations to take, and I found it very accessible to most people. However, there are some prerequisites required before you begin the course to get the most out of it.

However, if you don’t have these prerequisites, don’t worry! It’s actually not hard to get the background knowledge necessary to implement these deep learning algorithms.

Python Programming

Of course, if you’re new to Python, I really recommend doing all the optional assignments!

Mathematics

Of course, if you need more, Khan Academy is a great place to learn linear algebra from scratch.

Machine Learning

Another interesting new resource that was just released was the Kaggle machine learning course. If you’re more into text-based learning instead of video lectures, this walkthrough is very hands on and gets you coding immediately.

I hope you see here that you don’t need a lot of background knowledge to take the Specialization. By taking two courses from the Python specialization and 3 weeks of the original Machine Learning course, you can be ready to take the Deep Learning Specialization in just a couple of months.


Originally published at amarchenkova.com on January 29, 2018.

Ladies Storm Hackathons

A community of technical women growing and storming…

Anastasia Marchenkova

Written by

Quantum computing is everything. Quantum Physicist. @GeorgiaTech ‘12. Researcher @Bleximo. Let’s chat #quantum, #AI, and #womenintech. www.amarchenkova.com

Ladies Storm Hackathons

A community of technical women growing and storming hackathons together

Anastasia Marchenkova

Written by

Quantum computing is everything. Quantum Physicist. @GeorgiaTech ‘12. Researcher @Bleximo. Let’s chat #quantum, #AI, and #womenintech. www.amarchenkova.com

Ladies Storm Hackathons

A community of technical women growing and storming hackathons together

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