✓ Machine Learning¶
This course is an introduction to the exciting area of machine learning. We will be looking at the theory and algorithms of neural networks, and their applications in prediction, classification, computer vision and natural language processing. We will be building, training and applying neural networks using TensorFlow.
\[
\mathbf{y} = \sigma\left(W\cdot\mathbf{x}\right)
\]
Prerequisites¶
Calculus
Linear algebra and matrices
Python
Textbook¶
Required reading:
Dive Into Deep Learning, Aston Zhang, Zachary C Lipton, Mu Li, and Alexander J. Smola https://d2l.ai/
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Recommended reading:
Other references: