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courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

machinelearningnotebooks icon machinelearningnotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.

ml_dm_hse_minor icon ml_dm_hse_minor

Репозиторий майнора "Интеллектуальный анализ данных" ФКН НИУ ВШЭ (2016 г.)

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

mth594_machinelearning icon mth594_machinelearning

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

vowpal_wabbit icon vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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