Next Meetup

ODSC Europe Online Warm-Up (Free)
We are very excited to our ODSC Europe next month! As we get closer to the conference, we want to invite you to participate in ODSC Europe's Online Warm-Up. To access this webinar, please register using the link below: We will features 4 speaker from our upcoming ODSC Europe conference in London each of which will present a 30 minute sessions including: Jeffrey Yau, PhD - Multivariate time series forecasting using statistical and machine learning models Muzahid Hussain - Debugging and visualizing Tensorflow programs with images Dr. Jan Freyberg - Interactive data visualisation in python Dr. Colin Gillespie - Getting to grips with the Tidyverse ® Full Agenda Detail Session 1 - Interactive data visualisation in python (30 Minutes) Speaker: Dr. Jan Freyberg Bio: Dr Jan Freyberg is a data scientist at ASI. He has worked on data science projects in the private and public sector. Jan completed a PhD and a fellowship studying brain activity, vision and consciousness in autism at the University of Cambridge and King’s College London Abstract: Creating interactive visualisations adds a layer of complexity to the data science workflow: during modelling and data exploration, interactivity is effectively achieved by re-running chunks of code with different parameters. In this overview, we will introduce the python libraries that make this extra development as frictionless as possible. Libraries to be used include ipywidgets, plotly, and plotly dash. Session 2 - Debugging and visualizing Tensorflow programs with images (30 Minutes) Speaker: Muzahid Hussain Bio: Muzahid is working as a Research Engineer in Dassault Systems 3d Excite, Germany. He is responsible for the applied Deep Learning research. His academics was focused on exploring Machine Learning domain Abstract: The frameworks for Deep Learning provides the critical blocks for designing , training and validating Deep Networks. When its comes to easy programming interface and debugging, it is still a pain due to its statistic graph's construction approach. We will introduce a simple deep learning based Image Session 3 - Getting to Grips with the Tidyverse ® (30 Minutes) Speaker: Dr. Colin Gillespie Bio: Dr. Colin Gillespie is Senior lecturer (Associate Professor) at Newcastle University, UK. His research interests are high performance statistical computing and Bayesian statistics and also regularly employed as a consultant. Abstract: This overview aims to give a gentle introduction to the ideas behind some of the standard algorithms used in predictive analytics. The goal is to dispel the "magic" around common methods, such as lasso, logistic regression, naive bayes and others. Session 4 - Multivariate time series forecasting using statistical and machine learning models (30 Minutes) Speaker: Jeffrey Yau, PhD Bio: Jeffrey is the Chief Data Scientist at AllianceBernstein, a global investment firm managing over $500 billions. Graduated with a Ph.D. in economics from the University of Pennsylvania. Abstract: This overview introduces the formulation Vector Autoregressive (VAR) Models, one of the most important class of multivariate time series statistical models, and neural network-based techniques, demonstrates how they are implemented in practice, and compares their advantages and disadvantages used in practice.

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What we're about

#ODSC brings together the data science community with the goal of helping its members learn and network around the latest topics and trends in Data Science and Artificial Intelligence.

We are looking for volunteers and contributors in Berlin to help grow the community. ODSC will host speakers, food, and a venue if necessary. Many of our top volunteers get an all expenses paid trip to ODSC data science conferences in either London, San Francisco, Boston or other events. If you are interested in helping out, please click here (

Who is this meetup for?

• Data Scientist, Data engineers, analysts, and other data practitioners

• Software engineers, software architects and other looking to implement machine learning in their code

• Non-technical team leads, executives, and other decision makers

• Companies, startups and others looking to leverage data science to grow their business

• Nonprofits, NGOs, government agencies and others seeking to use Data Science for Good

How can you get involved?

• Attend events, network and precipitate!

• Give a talk or workshop that meets our goals (

• Volunteer to help the group (social media, website, blogging) (

• Provide us with a venue (

• Sponsor food and drinks (

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