An introduction to the history of solving one of the oldest questions of astronomy.
How to embrace the unembraceable?
A quick recap of what derivative is and what it is for.
A short introduction into the world of Machine Learning.
The simplest neural network architecture. Basic concepts.
How is perceptron trained?
The story of why regularization is essential for training neural networks.
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