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PyData London 2019

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2019-10-07 18:25:57

https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w

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Kevin Lemagnen - Maintainable code in data science _ PyData London 2019

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Anna Veronika Dorogush - Mastering gradient boosting with CatBoost _ PyData Lond

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Filip Ter - Data Analysis in Parallel _ PyData London 2019

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Raoul-Gabriel Urma, Kevin Lemagnen - Adv. Software Testing for Data Scientists _

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Michal Mucha - Build and Deploy an End-to-end Streaming NLP Insight System _ PyD

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Chris Fonnesbeck - An introduction to Markov Chain Monte Carlo using PyMC3 _ Py

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Dr. Egor Kraev - Choose the right neural generative model for your problem _ PyD

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Ian Ozsvald - A gentle introduction to Pandas timeseries and Seaborn _ PyData Lo

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Bertil Hatt, João Martins - AB-testing by cluster _ PyData London 2019

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Kirstie Whitaker - The Turing Way - A how to guide for reproducible research _ P

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Christopher Samiullah, Soledad Galli - Testing and Validating MLMs _ PyData Lond

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Irene Iriarte Carretero - Data Science for Dinner - Recommending Recipes _ PyDat

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Jan Freyberg - Active learning in the interactive python environment _ PyData Lo

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Maciej Arciuch, Karol Grzegorczyk - Embeddings! Embeddings everywhere! _ PyData

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Elena Sharova- How to Validate you Client Churn Model _ PyData London 2019

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Cheuk Ting Ho- 3 things about Chatbot (you don't have to learn it the hard way)

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Imran Rashid -Training intelligent game agents using deep reinforcement learning

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Jeffrey Hsu, Susannah Klanecek - A Deep Dive into NLP with PyTorch _ PyData Lond

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Alejandro Saucedo - Guide towards algorithm explainability in machine learning _

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Day 1 - Lightning Talks _ PyData London 2019

01:06:58

Fabian Krause - Quantamental Investing - the future of finance _ PyData London 2

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James Powell - Because You Can't Run, You Can't Hide - Some Musings on API Desig

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Igor Gotlibovych - Deep Learning and Time Series Forecasting for Smarter Energy

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Day 2 - Lightning Talks _ PyData London 2019

38:55

Jon Tutcher - Data Science Frameworks + Managed Services _ PyData London 2019

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Zack Akil - Safer Cycling with an Edge TPU watching your back _ PyData London 20

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Maria Navarro - Quantifying uncertainty in Machine Learning predictions _ PyData

35:38

Lorena A. Barba - The frustration of diversity efforts in STEM _ PyData London 2

53:08

Eric Drass aka shardcore - The anatomy of a #deepfake _ PyData London 2019

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George Cushen - Knowledge graphs --enter- the Hype Cycle _ PyData London 2019

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Anna Schneider - Just ask - designing intent-driven algos _ PyData London 2019

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From healthcare.hospital import datascience _ PyData London 2019

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Matthew Hertz, Alla Maher - Kafka in Finance - Over 1 Billion messages a day _

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Mario Bonamigo - Data science and Internet of Things on the edge _ PyData London

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Eddie Bell - Weak supervision - a new paradigm for unreliable data _ PyData Lond

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Gianluca Campanella - The unreasonable effectiveness of feature hashing _ PyData

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Michael Sugimura - Computer Vision and NLP for Multi-Task Fashion Attrb. Modelin

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Chie Hayashida - Understanding of distributed processing in Python _ PyData Lond

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Ajay Thampi - Interpretable AI or How I Learned to Stop Worrying and Trust AI _

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Vincent Warmerdam - How to Constrain Artificial Stupidity _ PyData London 2019

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Ruben van de Geer - A Primer (or Refresher) On Linear Algebra for Data Science _

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Harrison Pim - Image search without image captions _ PyData London 2019

26:08

Lynn Cherny - Goofing Off with Fun (Big) Data _ PyData London 2019

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Elina Naydenova - Bridging health inequalities through machine learning _ PyData

38:54

Liam Kirwin - How am I going to deal with all of these cats _ PyData London 2019

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Trevor Sidery, Guillermo Barquero - Productionising Data Science at Scale _ PyDa

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Mark Farragher- On the Path to Causal Inference - PyData London 2019

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Omer Yuksel- Understanding exchange network dynamics with Python - PyData London

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Jonny Brooks-Bartlett- How Deliveroo improved the ranking of restaurants - PyDat

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Mahan Hosseinzadeh- Prophet at scale to tune & forecast time series at Spotify -

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Maarten Breddels & Jovan Veljanoski- A new approach to DataFrames and pipelines

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Jake Coltman- What Failure Taught Me About Building High-Stakes Models - PyData

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