ML Conference 2018 Spring
2018-06-18..2018-06-20
Munich, Germany
who it's for
machine learning engineers, data scientists, software engineers, product managers, applied researchers, ai policy analysts
topics
LUIS REST API; Bot Framework integration; scikit-learn k-means++ clustering; Keras on TensorFlow; Project Malmo Minecraft testbed; Q-learning table updates; convolutional deep reinforcement learning; facial recognition accuracy; transfer learning for prototypes; automated hyperparameter optimization; cloud vision and speech APIs; Wavenet text-to-speech
| title | author | length |
|---|---|---|
| Natural Language Support with LUIS | Rainer Stropek | 01h 03m |
Service claim: LUIS makes practical natural language support feasible for enterprise developers by exposing a configurable LUIS REST API with… | ||
| Kick-Start your Understanding of Machine Learning with Python | Andreas Buhlmeier | 30m |
Shows building quick text pipelines with Python 3.6 using Scikit-learn for vectorization and k-means++ clustering and Keras on TensorFlow for supervision… | ||
| Reinforcement Learning and Minecraft | Lars Gregori | 41m |
Demonstrates using project Malmo (open source, no Minecraft purchase required) to train agents on a cliff task with rewards: move -1, blue +100, lava -100… | ||
| Gamified Control - China's Social Credit Systems | Katika Kühnreich | 28m |
China builds linked governmental and commercial social credit systems that score individuals and companies using payments, messaging, court records and… | ||
| Machine Learning Sucks | Dr. Pieter Buteneers | 36m |
Machine learning needs lots of labeled and cleaned data so projects spend ~75% of time on data cleaning, and labels are costly; Facebook gets ~97% face… | ||
| Quick Start with AI for Businesses | Ulrich Bodenhausen | 01h 05m |
Proposes an embedded approach that proves the bottleneck is data not models, showing workflows to go from idea to prototype by pairing transfer learning and… | ||
| Boost your App with Machine Learning APIs | Laurent Picard | 01h 00m |
Overview of concrete APIs and what they actually do: Natural Language API returns entity IDs, syntax and sentiment for text; Translate and Speech-to-Text cover… | ||
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