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courses
courses
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
collaborative_filtering_fastAI.ipynb
collaborative_filtering_fastAI.ipynb
 
 
content_image_reconstruction.ipynb
content_image_reconstruction.ipynb
 
 
contextual_bandits.ipynb
contextual_bandits.ipynb
 
 
mnist_simple_neural_network.ipynb
mnist_simple_neural_network.ipynb
 
 
mnsit_convolutional_network.ipynb
mnsit_convolutional_network.ipynb
 
 
montecarlo_connect4.py
montecarlo_connect4.py
 
 
montecarlo_tictactoc.py
montecarlo_tictactoc.py
 
 
multi_armed_bandit.ipynb
multi_armed_bandit.ipynb
 
 
nanoGPT.ipynb
nanoGPT.ipynb
 
 
planar_data_classification.ipynb
planar_data_classification.ipynb
 
 
planar_utils.py
planar_utils.py
 
 
pyspark_practice.ipynb
pyspark_practice.ipynb
 
 
recsys_matrix_factorization.ipynb
recsys_matrix_factorization.ipynb
 
 
regular_group_conv.ipynb
regular_group_conv.ipynb
 
 
single_neuron.ipynb
single_neuron.ipynb
 
 
small_image_search_engine.ipynb
small_image_search_engine.ipynb
 
 
word_embedding.ipynb
word_embedding.ipynb
 
 

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ai-notebooks-implementations

Some personal implementations in ipython notebooks of AI algorithms

You wanna be an ML engineer? Well, here's the steps to get good at that:

  1. Download a paper
  2. Implement it
  3. Keep doing this until you have skills

-- George Hotz

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ipython notebooks implementing AI algorithms - inspired by Geohotz

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machine-learning-algorithms notebooks

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