Open UC Berkeley course on computational and inferential thinking using Python and real data.
Free statistics textbook and resources for data analysis, inference, regression and probability.
Free online book on data import, wrangling, visualisation, modelling and communication using R.
Free online book covering NumPy, pandas, Matplotlib, Scikit-Learn and data science workflows.
Course materials covering search, knowledge representation, learning, planning and reasoning.
Free practical course on machine learning concepts, models, loss, generalisation, fairness and TensorFlow basics.
Free practical course on deep learning, computer vision, NLP, deployment and model training.
Free-to-audit learning materials and public resources on supervised learning, neural networks and ML foundations.
Open course materials on supervised learning, generative models, deep learning, RL and ML theory.
Open course notes and materials on convolutional networks, image recognition and visual learning.
Back to Course
