We started with the concept of a full-day meetup in 2016. Our aim was to provide the entire community with the opportunity to participate at a sort of data science conference at the expense of a ticket to the movies. The fact that this actually came to life is only due to our great sponsors that pay for food, drinks, and location. We are tremendously humbled by the increasing demand for our event with 100 people in the first year, 200 in the second, and 400 in the third season.
Learn more about the hottest event about data and AI.
Practical deep learning applications in industry: fine-tuning GoogleNet for image classification, processing hundreds of millions of search queries with LSTMs and CNNs, optimizing neural architectures, and building multilingual chatbots.
Exploring word embeddings on German car data reveals both promise and limitations: data volume and preprocessing significantly impact quality, successfully capturing some manufacturer relationships and model similarities, but unexplained clustering failures persist for premium brands.
We started with the concept of a full-day meetup in 2016. Our aim was to provide the entire community with the opportunity to participate at a sort of data science conference at the expense of a ticket to the movies.
OpenML enables collaborative machine learning research through standardized tasks, datasets, and results sharing. The live R demo shows downloading tasks, benchmarking algorithms (CART, random forests, bagging), and uploading results to enable meta-learning.
Abstract etc. Sorry, but the bad audio quality of the recording does not make it possible to use transcript for refining contents about the talk.