San Francisco, California
London, United Kingdom
Meet the instructor. Ask questions. Learn about the Data Science course at Hackbright!
We are hosting this Info Session for the course on January 7, 2014 for interested parties to learn more about the course, data science and machine learning.
Dan Wiesenthal will be teaching Data Science (Machine Learning) at Hackbright Academy.
Applications are currently being accepted on a rolling basis for the January 18-19, 2014 course in San Francisco.
About Data Science (Machine Learning) at Hackbright Academy:
Learn about what it means to be a data scientist, and specifically how a data scientist would tackle a toy problem. We'll pick a prediction task, explore various ways of approaching it, working with real data along the way, and learning about the performance, code, development trade-offs as we go. We'll go into depth with a few particular algorithms, and discuss at a high level where they fit into the machine learning and data science landscape. By the end of the course, you'll have a working (and extensible, if you like) API written in Python+Flask for prediction/recommendation tasks.
- Learn about the cycle of data gathering, data munging, data modeling, performance evaluation
- Tackle a toy problem and understand trade-offs of various approaches
- Understand real-world production and code-execution environment trade-offs
- Learn a few common models/approaches to a particular task, specifically, a common predictive algorithm, a common clustering algorithm, and a common latent-feature algorithm
- Familiarity with basic statistics (e.g., variance)
- Familiarity with basic probability theory
- Familiarity with at least one database (e.g., MySQL or MongoDB)
- Familiarity with distributed processing concepts (e.g., worker queues, shared data stores)
About the Instructor:
Dan holds two degrees from Stanford University, an MS in Computer Science and a BS in Symbolic Systems. As a grad student, Dan pursued dual concentrations in Human Computer Interaction (HCI) and Artificial Intelligence (AI), and naturally was especially interested in their intersection. With an undergrad background in linguistics, logic, cognitive psychology, and computer science, Dan's research creatively pulled together the fields of AI, HCI, Natural Language Processing, Network Analysis, and Machine Learning to discover interesting and useful things about the world.
When & Where
In addition to the engineering fellowship, Hackbright Academy offers part-time courses in front-end web development for product managers, designers and beginners.