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Data Science: Machine Learning Info Session (January 7, 2013)

Hackbright Academy

Tuesday, January 7, 2014 from 7:00 PM to 8:00 PM (PST)

Data Science: Machine Learning Info Session (January...

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I'm coming to learn about the Data Science course at Hackbright Academy! Ended Free  

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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.

Course Takeaways:

  • 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

Course Prerequisites:

The following are not necessary, but any/all of them will be helpful:

  • 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)

*These strong suggestions are not hard requirements; rather, they are intended to help you and other students make the most of the course. If you are proficient in another similarly-high-level programming language (e.g., Ruby, Java) and are quick to get up to speed with Python (we’ll be doing some coding during the course) you’ll probably be fine if it’s been a while since you’ve used Python or are relatively new to it. 

Similarly, if you don’t have as much experience as a developer, but you are driven to clear goals (e.g. a specific project you’re working on) and can contextualize new knowledge in relation to those goals, then you’ll probably be fine too.

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. 

Have questions about Data Science: Machine Learning Info Session (January 7, 2013)? Contact Hackbright Academy

When & Where

Hackbright Academy
683 Sutter Street
San Francisco, CA 94109

Tuesday, January 7, 2014 from 7:00 PM to 8:00 PM (PST)

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Hackbright Academy

Hackbright Academy is the leading engineering school for women located in San Francisco, California.

Since 2012, Hackbright has been offering the engineering fellowship - this is a 12-week accelerated software development training program exclusively for women to learn Python, HTML, CSS, JavaScript, OOP, TDD, pair programming, Git and the Flask web framework.

In addition to engineering fellowships, Hackbright offers part-time courses for product managers, designers, project managers and complete beginners!

Check out our evening programming courses at Hackbright Academy!

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Data Science: Machine Learning Info Session (January 7, 2013)
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