Munich Datageeks - July 2016 Edition

It is time for our next Meetup. Once again TrustYou will host our meetup.

Format:

• 2 presentations (each ca. 30-40 min incl. discussion)

• Of course time for networking + food + drinks before, in between and especially after the presentations

• Talks are held in English

The line up:

Daniel Peterson - Understanding and Expanding Word2Vec

Bio:

Daniel Peterson is a data scientist at TrustYou, and a PhD candidate at the University of Colorado. His work focuses on deriving meaningful insights from text. His first degree is a BA in Mathematics, which established the foundation in problem-solving that led him to machine learning. He's from Wyoming, the smallest-population state in the USA, and in his spare time he homebrews beer, reads, walks outside, and in the summers works in his vegetable garden.

Abstract:

Word2Vec has proven useful at many tasks in NLP, because the vectors learned capture many meaningful relationships. This has spawned a large number of variations suited to accomplishing distinct tasks - not unlike LDA did ten years earlier. In this talk, I'll walk through briefly how Word2Vec functions, its assumptions and shortfalls, and some simple, successful variants.

Xudong Sun - Introduction to reinforcement learning

Bio:

Xudong Sun is a scientific staff at LMU working on Bayesian machine learning. He has an interdisciplinary background in physics, biology and electronic engineering. His major research interests also include bio-informatics, especially network reconstruction.

Abstract:

This talk will be a general introduction to reinforcement learning and some working examples to help people understand the basic concepts. It is most suitable to people who have a proper math background and machine learning background but lack some basic knowledge in reinforcement learning.