A list of some of the best high-quality resources you can find online to learn Deep Learning for free
On 21 of August 2020, fastai released the new version of the fastai library and of their Deep Learning course!
This is my #1 recommendation for anyone wanting to start with practical Deep Learning. Fastai top-down teaching approach allows you to start applying your knowledge on real-world problems since day 1 and gradually dive into the details. Furthermore, you will learn to use the fastai library that is a very powerful tool to increase your productivity in all your Deep Learning projects!
The deeplearning.ai online courses on Coursera are not free. However, all the course videos are freely available on YouTube!
Additionally, you can get further inspiration from these interviews with top Deep Learning researchers: Heroes of Deep Learning
These courses give you a good overview of Deep Learning, covering important topics with some depth but explained in a simple way by Andrew Ng. I would recommend watching these playlists after completing fastai course.
MIT courses are another great resource! If you want to go even deeper into your Deep Learning studies online, consider the following playlists.
If you watched the previous two courses these ones may give you complimentary information and additional perspective on some topics not covered before.
How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.