Articles, applications and code, to help you break into Artificial Intelligence.
Whether you are a manager looking to introduce AI in your organization, or an engineer looking to get your hands dirty.
Arguably the best and most mature platform out there for online education, especially when it comes to AI, machine learning
and general data science. Courses are reasonably priced.
Must-do courses if you want to learn about neural nets / deep learning.
Offered on Coursera and teached by its co-founder Andrew Ng, one of the leading men behind AI.
From learning how to add up two numbers to learning advanced prerequisites for deep learning. This website
is a goldmine when it comes to (re)strengthening your math skills.
A community of data scientists and machine learners that allow users to explore and analyse datasets,
and enter competitions to solve data science challenges.
Free to use jupyter notebook environment in the cloud, very suitable for machine learning development.
Hardware (GPU's, TPU's) that competes with paid solutions.
Leading framework to build deep learning models. Various abstraction levels, from models in a few lines of code,
to granular and fully customizable. The popular Keras library is fully integrated.
Excellent blog by Christopher Olah, containing well-written and valuable articles about hard topics, most of them related to deep learning. Especially the one about LSTM's is widely referenced.
Great starting point for deep learning. Michael Nielsen explains how neural networks work, and teaches you how to implement them from scratch.
This might be the first and last time you'll implement backpropagation yourself.