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Data Science: Machine Learning Course (April 5-6 at Hackbright Academy)

Hackbright Academy

Saturday, April 5, 2014 at 1:00 PM - Sunday, April 6, 2014 at 4:00 PM (PDT)

San Francisco, CA

Data Science: Machine Learning Course (April 5-6 at...

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Data Science: Machine Learning Course Enrollment Ended $995.00 $0.00

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Event Details

What do machine learning and data science mean to a software engineer?

Learn about what it means to be a data scientist, and specifically how a data scientist would tackle a toy problem. The instructor will select a prediction task and explore various ways of approaching it, working with real data along the way, and learning about the performance, code, development trade-offs. The course will go in depth with algorithms and discuss at a high level where they fit into the machine learning and data science landscape. You'll have a working (and extensible, if you like) API written in Python+Flask for prediction/recommendation tasks by the end of the course.

Key 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

Instructor: Dan Wiesenthal 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.

Schedule: Program runs 10am to 6pm on Saturday and Sunday, including an hour break for lunch.

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)

Please note these 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.

Employee Sponsorship: In the past, employers have sponsored their employees to take Hackbright Academy courses. Dedicating time outside of the office is an effective way to skill up. Ask us for a template letter to send to your manager if you'd like to request employer sponsorship.

Need Financial Assistance? We offer scholarships on a need basis. To apply for a scholarship, please fill out the form here

Have Questions? Email your questions to Angie at a@hackbrightacademy.com 

Have questions about Data Science: Machine Learning Course (April 5-6 at Hackbright Academy)? Contact Hackbright Academy

When & Where


Hackbright Academy
683 Sutter Street
San Francisco, CA 94109

Saturday, April 5, 2014 at 1:00 PM - Sunday, April 6, 2014 at 4:00 PM (PDT)


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Organizer

Hackbright Academy

Hackbright Academy offers a 10-week accelerated software development training program for women. Our engineering fellows learn Python, HTML, CSS, Javascript, OOP, TDD, pair programming, Git and the Flask web framework.

In addition to the engineering fellowship, Hackbright Academy offers part-time courses in front-end web development for product managers, designers and beginners.

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