Machine Learning vs Deep Learning

Goliath Research Academy is already publishing more than half of the courses covering the Data Science curriculum:

1. Introduction to Python and the most important libraries for data processing and visualization.
2. Introduction to Probability and Statistics using a computational approach.
3. The first steps in Data Processing and Visualization.
4. Machine Learning (still under revision before releasing it).
5. Deep Learning (under active development).

In a previous article, we described the reasons for using Computational Statistics in our courses.

Now, you can read a brief comparison between Machine Learning and Deep Learning in our academy's blog.

Machine Learning vs. Deep Learning (goliathresearch.com)

We will expand some of our comments as we provide more details about using neural networks while completing the Deep Learning courses.