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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Monday, May 16 • 11:40am - 12:20pm
Functional Programming for Machine Learning and Data Pipelines

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It is easy to make a fast, incorrect algorithm. In machine learning, we are often faced with two challenges: correctly implement a complicated, math-heavy algorithm and make it run fast! In this talk, we present the marrying of functional programming and machine learning as a solution to this central problem dogging machine learning practitioners. As a demonstration of combining these ideas together, we present code that implements common learning algorithms using core principles of functional programming.


Speakers
avatar for Malcolm Greaves

Malcolm Greaves

Research Engineer, Nitro Software, Inc.
I'm a computer scientist and software engineer that adores functional programming, supports open source development, works on machine learning (ML) and natural language processing (NLP) algorithms, and never stops innovating and growing. | | My personal software development style focuses strongly on functional programming. Because much of my ML and NLP based work deals with big data, I'm always concerned about program performance. And in... Read More →


Monday May 16, 2016 11:40am - 12:20pm
Gardner

Attendees (30)