Johannes KnoppArtificial Intelligence, Deep Learning, Data Science, Infrastructure, Machine Learning, Data Engineering
10 years ago we built a classifier for categorizing product data. Let's take a journey through the lessons we learned over the years about building, maintaining, and modernizing the category classifier.
Algo.Rules - How do we get the ethics into the code? 9 rules for the design of algorithmic systems
Marianna DiachukData Science, Machine Learning
Getting stuck for months trying to deploy the model and fighting with data inconsistency and bugs? This talk will introduce the way to build the development process with deployment in mind.
Florian WilhelmArtificial Intelligence, Deep Learning, Data Science, Machine Learning, Science
Are you sure about that?! Uncertainty Quantification in AI helps you to decide if you can trust a prediction or rather not.
Good code comments are important for software maintenance. This talk goes beyond the common wisdom you find in most books and online and explains when this common wisdom falls short.
Alexander CS HendorfArtificial Intelligence, Business & Start-Ups, Data Science, Machine Learning, Use Cases
Artificial Intelligence need to be better understood in enterprises. Close the communications gap between engineers and management. Making data litteracy happen in your organisation.
Jacek KołodziejUse Cases
Basics and three years of experience in utilizing event sourcing in a real-life application with its ups and downs - come hear the Event-Sourced Story.
Marie-Louise TimckeBig Data, Data Science, Statistics
Marie will talk about how newsrooms work with data on a day to day basis, and how scientific accuracy fits in with the pace of news reporting.
PalomaBusiness & Start-Ups, Community, Web
What does diversity means? Social justice YES \o/ but also to reclaim knowledge & critical perspective | #diversity #criticalDisability #inclusion
Caio MiyashiroAlgorithms, Data Science, Machine Learning, Statistics
Come check out Caio's workshop on music+programming+stats on PyData
MicroPython used in space as an On Board Control Procedure (OBCP) engine
Introduction to the ranking algorithms Elo, Glicko2, and Trueskill.
Christian Barra, Tereza Iofciu, Katharina Rasch, Matteo Guzzo, Sieer AngarBusiness & Start-Ups
A panel about freelancing & moving from academia to industry
Florian JetterBig Data, Data Engineering
Kartothek - Table management for cloud object stores powered by @ApacheArrow and @dask_dev
Dr. Benjamin WerthmannArtificial Intelligence, Big Data, Machine Learning
Find out and discuss how law and ethics should be included in a framework for machine learning that protects creativity and effectiveness
Tereza IofciuBusiness & Start-Ups, Data Science, Machine Learning
How many languages does the data science product manager need to speak?
David WölfleArtificial Intelligence, Algorithms, Deep Learning, Data Science, Machine Learning, Statistics
This talk covers the theoretical background behind two common loss functions, mean squared error and cross entropy, including why they are used for machine learning at all, and what limitations you should keep in mind.
Daniel RiosCommunity, Microcontrollers, Makers
Optimizing input by building your own keyboard. Learn where the modern keyboard originated and what the present holds for the future of text input.
Noa TamirBusiness & Start-Ups, Community, Data Science
How to level up your skills and develop your your career by making the most of on the job opportunities, as well as open source contributions
Open Source is a wildly successful and crucial part of many areas of modern technology. However, the ’sustainability crisis’ and the age of cloud computing have threatened its core mechanisms.
In this talk, we'll discuss the advantages and disadvantages to a static type system
Tackle the problems that really matter - leverage the power of data science in the service of humanity
Eva Schreyer, Lisa ZäunerBusiness & Start-Ups, Community, Data Science
We talk about how DSSG @dssgber brings together data scientist volunteers and non-profit organisations to tackle their data challenges in various events.
Teresa IngramCommunity, Natural Language Processing, Machine Learning
Opt Out of Online Sexism - From a Problem to Open Source Activism and the Mechanics of Change
Katharina RaschArtificial Intelligence, Data Science, DevOps, Infrastructure
There is now a wealth of tools that support data science best practices (e.g. tracking experiments, versioning data). Let’s take a look at which tools are available and which ones might be right for your project.
Ellen KönigCommunity, Data Science
Find your individual approach towards more positive social impact by conducting experiments! I'll show you how.
"What if I tell you that your specs are broken". Protect your specs against incompatible changes ... a practical guide
Samet AtdagBusiness & Start-Ups, Big Data, Infrastructure, Web, Data Engineering
We broke the web via simple hacks. Instead of order, we caused chaos. How to fix that?
Mariana CapinelNatural Language Processing
This talk explains how linguistics describes language - via phonetics-phonology, morphology, syntax, semantics and pragmatics. We will combine linguistic concepts with models through examples for NLP newbies.