talk-data.com
Activities & events
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PyData Berlin 2024 August Meetup
2024-08-14 · 16:00
Welcome to the PyData Berlin August meetup! Please provide your first and last name, current role and organization name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited. Host: Google Cloud is excited to welcome you for this month's version of PyData. Agenda:
************************************************************************** The Lineup for the evening Talk 1: Multi-agent Systems with Mistral AI, Milvus and Llama-agents Abstract: Agentic systems are on the rise, helping developers create intelligent, autonomous systems. LLMs are becoming more and more capable of following diverse sets of instructions, making them ideal for managing these agents. This advancement opens up numerous possibilities for handling complex tasks with minimal human intervention in so many areas. In this talk, we will see how to build agents using llama-agents. We’ll also explore how combining different LLMs can enable various actions. For simpler tasks, we'll use Mistral Nemo, a smaller and more cost-effective model, and Mistral Large for orchestrating different agents. Speaker: Stephen Batifol Stephen is a Developer Advocate at Zilliz. He previously worked as a Machine Learning Engineer at Wolt, where he created and worked on the ML Platform, and previously as a Data Scientist at Brevo. Stephen studied Computer Science and Artificial Intelligence. He is a founding member of the MLOps.community Berlin group, where he organizes Meetups and hackathons. He enjoys boxing and surfing. Talk 2: Bayes by Hand Abstract: Discover how powerful Bayesian modelling can be with a pen and paper, or even in your head! Or - Bayes, the good bits! The focus is on Bayes as a thinking tool, rather than on code and algorithms. Think eliciting and updating priors, updating estimates rigorously with incoming data, etc. This approach reacts to the need for more disciplined estimation in business contexts, while wanting to include non-stats and non-dev stakeholders in the process. Bayes By Hand can be used for sketching out baselines, cross-disciplinary collaborations, improved decision making, and more. Let's get back to the blackboard my friends, and do some modelling by hand! Speaker: Laura Summers Laura is a very technical designer™️. She's the founder of Debias AI, (debias.ai) and the human behind Sweet Summer Child Score (summerchild.dev), Ethics Litmus Tests (ethical-litmus.site), fairXiv (fairxiv.org), the Melbourne Fair ML reading group (groups.io/g/fair-ml). Laura is passionate about feminism, digital rights and designing for privacy. She speaks, writes and runs workshops at the intersection of design and technology. Lightning talks There will be slots for 2-3 Lightning Talks (3-5 Minutes for each). Kindly let us know if you would like to present something at the start of the meetup :) *** NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery are not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct *** |
PyData Berlin 2024 August Meetup
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RAG (Retrieval-Augmented Generation)
2024-08-13 · 20:00
Fateme Kamali
– Data Scientist
@ DHL Data & Analytics team
Talk description TBC |
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Foundation models for complete beginners
2024-08-13 · 19:30
Mary Newhauser
– data scientist specializing in generative AI and large language models
One of the key players behind the staggering speed of advancement in machine learning and AI are foundation models. But what is a foundation model, really? In this talk, I’ll explain what exactly defines a foundation model, what they’re capable of doing, and review some well-known examples of foundation models in the real world. |
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PyData Berlin 2023 August Meetup
2023-08-16 · 16:00
Welcome to the next Pydata Berlin meetup !! We would like to welcome you all starting at 18:00. The talks begin around 18:30. Please provide your first and last name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited. ************************************************************************** The Lineup for the Evening Talk 1: Cohort Revenue & Retention Analysis: A Bayesian Approach Speaker: Juan Camilo Orduzs a Mathematician (Ph.D. Humboldt Universität zu Berlin) and data scientist at Wolt. He is interested in interdisciplinary applications of mathematical methods. In particular, time series analysis, bayesian methods, and causal inference. Abstract: We present a Bayesian approach to model cohort-level retention rates and revenue over time. We use Bayesian additive regression trees (BART) to model the retention component which we couple with a linear model to model the revenue component. This method is flexible enough to allow adding additional covariates to both model components. This Bayesian model allows us to quantify the uncertainty in the estimation, understand the effect of the covariates on the retention through partial dependence plots (PDP), individual conditional expectation (ICE) plots and last but not least forecast the future revenue, and retention rates. Talk 2: The Mythical Machine Learning Pipeline Speaker: Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks Feature Store platform. He organizes the annual feature store summit and co-organizes PyData Stockholm. Abstract: Developers often talk about ML pipelines as a concrete building block for production ML systems. However, these monolithic creatures are almost never seen in production. Instead, real-world ML systems are typically factored into manageable pipelines with dedicated tasks. In this talk, we show how to build ML systems as a composition of feature pipelines, training pipelines, and inference pipelines with a shared data layer. There will be slots for 2-3 Lightning Talks (5-6 Minutes for each). Kindly let us know if you would like to present something at the start of the meetup :) *** NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery are not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct *** HOSTS: Spiced Academy: Accelerate your career with our first-class bootcamps in Web Development, Data Science, Data Analytics and UX/UI. |
PyData Berlin 2023 August Meetup
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