Domain Expertise expert Session List
Creating an Interactive ML Conference Showcase
Harald Bosch
Artificial Intelligence, Computer Vision, Deep Learning, IDEs/ Jupyter, Machine LearningBuild a ML showcase using #transferlearning, #keras, #WebRTC, #python
Current affairs, updates, and the roadmap of scikit-learn and scikit-learn-contrib
Adrin Jalali
Artificial Intelligence, Community, Code-Review, Machine Learningan update on recent scikit-learn changes, current affairs, and the roadmap
Developers vs. Enterprise
Ingo Stegmaier
Community, Use CasesDevelopers vs. Enterprise. A guide to promote and succeed internal projects
Embrace uncertainty! Why to go beyond point estimators for valuable ML applications
Stefan Maier
Algorithms, Data Science, Machine Learning, StatisticsUsually, uncertainties of Machine Learning predictions are just regarded as a sign of poor prediction accuracy or as a consequence of lacking input features. This talk illustrates how modeling uncertainties can improve ML based decisions.
Julia for Python
Simon Danisch
Data Science, Infrastructure, IDEs/ Jupyter, Parallel ProgrammingJulia is a new Language, that is fast, high level, dynamic and optimized for Data Science. Learn about Julia's strengths and how you can integrate it in your Python workflow!
Leveraging the advantages of Bayesian Methods to build a data science product using PyMC3
Korbinian Kuusisto
Algorithms, Business & Start-Ups, Data Science, Machine Learning, Science, StatisticsHow can one leverage the power of Bayesian methods to build a successful data science product?
Panel: Turn any notebook into a deployable dashboard
Philipp Rudiger
Data Science, IDEs/ Jupyter, VisualisationIntroducing Panel: Turn any notebook into a deployable dashboard
Should I stay or should I go? Optimal exercise decisions using the Longstaff-Schwartz algorithm
Benedikt Rudolph
Algorithms, Business & Start-Ups, Data Science, Science, StatisticsLearn about a simple least-squares approach to evaluate financial exercise options and make optimal exercise decisions.
Time series modelling with probabilistic programming
Sean Matthews, Jannes Quer
Data Science, StatisticsProbabilistic time-series forecasting @ Deloitte Analytics Institute
Why you should (not) train your own BERT model for different languages or domains
Marianne Stecklina
Artificial Intelligence, Deep Learning, Data Science, Natural Language Processing, Machine Learning, ScienceLanguage models like BERT can capture general language knowledge and transfer it to new data and tasks. However, applying a pre-trained BERT to non-English text has limitations. Is training from scratch a good (and feasible) way to overcome them?
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