Dima 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.
Intro to Data Science
This workshop 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.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
General Assembly Open Day: Back to School!
Ever wondered what it's really like to be a student at General Assembly? Well, pack up your backpack, put on your thinking cap, and join us for our first ever GA Open Day!