supcom-machine-learning
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learning_sources
learning_sources PublicThis repository holds the list of learning material that we have found useful within the activities of the Sup'Com machine learning group. The sources will range over MOOCs, blog articles, books, v…
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experiments
experiments Publicputting few unrelated experiments on the results of some machine learning papers
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data-science-ipython-notebooks
data-science-ipython-notebooks PublicForked from donnemartin/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Pytho…
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- data-science-ipython-notebooks Public Forked from donnemartin/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
supcom-machine-learning/data-science-ipython-notebooks’s past year of commit activity - learning_sources Public
This repository holds the list of learning material that we have found useful within the activities of the Sup'Com machine learning group. The sources will range over MOOCs, blog articles, books, videos, papers, etc.
supcom-machine-learning/learning_sources’s past year of commit activity
