
Intro to Data Science
This class will define what data science is, review some of the main tools used by data scientists today, and discuss how they can be implemented in real world work.
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Sydney
Dima Galat learned to program in Assembly on an i486, back when disk sizes were measured in megabytes. He always saw programming as a tool for facilitating communication between disparate data sources and end users.
After his first encounter with data mining a decade ago, he became obsessed with applied machine learning, which supercharges this communication process. He has a background in computer vision productisation, data engineering, and a variety of analytics projects for clients ranging from financial institutions to United Nations.
In his spare time, he enjoys mountain biking, and tries to make sense of using deep reinforcement learning for natural language processing.
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