| Sumario: | ODSC Europe 2018 Royalties for this video set help fund the ODSC Grant Award for open source data science projects. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data science thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: Machine Learning in R Part I--Jared Lander Machine Learning in R Part II--Jared Lander Machine learning and statistics: Don't mind the gap--Thomas Wiecki, PhD Deep Learning for Developers--Julien Simon Target Leakage in Machine Learning--Yuriy Guts Ensemble Models Demystified--Kevin Lemagnen Towards Interpretable Deep Learning--Dr. Wojciech Samek Delivering Machine Learning at Scale ‚Äì An agile approach to Model Governance--Thomas Cronin An Introduction to Active Learning--Jennifer Prendki, PhD Introduction to Machine Learning--Andreas Mueller, PhD Linguistics in NLP: why so complex?--Mariana Romanyshyn Deep Learning for Mail Processing--Alexandre Hubert Introduction to Automatic and Interpretable Machine Learning with H2O and LIME--Jo-fai Chow, PhD Elegant Machine Learning workshop with Julia and Flux--Avik Sengupta Deep Learning for Recommender Systems--Oliver Gindele, PhD Intermediate Machine Learning with scikit-learn--Andreas Mueller, PhD Multivariate Time Series Forecasting Using Statistical and ML Models--Jeffrey Yau Democratize Conversational AI--Scaling Academic Research to Industrial Applications--Pei-Hao...
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