Lesson 01
First steps with Python on the UNO Q: variables, rules, observations and first learning data
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Lesson 02
Build a first Machine Learning model capable of learning its parameters from data
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Understand how a model gradually adjusts its weight to learn from data
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Apply gradient descent to the watering model and discover the limits of a simple score
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Transform a score with the sigmoid, discover a first artificial neuron, and make it learn
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Understand why a single neuron is not always enough and build our first small neural network
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