Do you feel lost with terms like data science, machine learning, deep learning, neural networks, or supervised learning? Have you tried to start a data science project, but felt overwhelmed with all the libraries? Are you having trouble figuring out how to proceed? Have you heard of scikit-learn, Theano, Dask, xarray, Blaze, gensim, Bokeh, PyMC3, Numba, and Jupyter but don’t know what each library is for? This talk is for you.
Christine Doig explores data science and the state of the Python ecosystem and helps navigate the large amount of open source libraries available for data science in Python, providing a map to guide you on the journey. You’ll learn what data science is and discover existing libraries, their functionalities, and applications.
The talk will be divided in three sections:
Christine Doig is a data scientist at Continuum Analytics. Christine loves Python and sharing her open source findings with others. She has taught tutorials and presented many talks on data science and Python libraries like conda, Blaze, Bokeh, and scikit-learn at EuroPython, PyTexas, PyGotham, PyCon Spain, PyData (Dallas, Berlin), SciPy, and local meetup groups. In her free time, Christine loves to travel and tweet.
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