Topic
data-science
2 resources tagged “data-science”.
Foundations of Data Science
Avrim Blum, John Hopcroft, Ravindran Kannan
The mathematical and algorithmic underpinnings of data science: high-dimensional geometry, singular value decomposition, random graphs, clustering, and machine-learning theory, aimed at readers who want to understand why the methods work.
Machine LearningAdvancedOfficial Free DistributionPDF · 3.5 MB
Python Data Science Handbook
Jake VanderPlas
A practical guide to the core Python data-science stack: IPython/Jupyter, NumPy, Pandas, Matplotlib, and Scikit-Learn, with real workflows for cleaning, transforming, visualizing, and modeling data.
Machine LearningIntermediateMITHTML