#pydatacambridge resultados de búsqueda

RT KishManani RT @PyDataCambridge: Talk on Measuring stability of your machine learning model: model performance is not the only criterion to optimise for. Talk by Davide Sarra and @KishanManani at #PyDataCambridge

#PhaserTeam My colleague Kaushik has presented today a really nice talk about his work with #ArangoDB and protein structures at #PyDataCambridge today. Wonderful to have the opportunity to attend these remote events thanks to the different #PyData, #Pyladies, and #Python chapters

FeedStock's #datascience team share their key takeaways from the #PyDataCambridge conference last month. Fantastic lineup including @ianozsvald, @kirstie_j of the @turinginst and professors from @IOE_London and @waikato to name a few. bit.ly/2OTApJC #deeplearning #data

Great feedback about PyData Cambridge from one of the co-founders of @pydatalondon and author of 'Higher Performance Python', @ianozsvald. Read his full blog article here: bit.ly/2OKyOET #Python #PyDataCambridge #datascience

We'd like to say a huge thank you to all that attended and supported #PyDataCambridge to make it such a success! Another thank you to our sponsors, @HSBC_UK, Anglia Ruskin University (@degreesatwork ), @wavelengthlaw, @anvil_works, @Speechmatics and @FeedStock_News! #python

Ekaterina Kochmar of Essential Natural Language Processing bit.ly/2KxZyaa at PyData Cambridge. You can save 40% on all Manning products with code ctwpycbg19! #PyDataCambridge

tf-explain implements interpretability methods as #Keras and @TensorFlow 2.0 callbacks, to help facilitate better understanding of the internals of neural networks. Documentation: tf-explain.readthedocs.io Code: github.com/sicara/tf-expl… #PyDataCambridge @PyData

How the brain works and how it relates to #machinelearning at #PyDataCambridge @ Cambridge, Cambridgeshire instagram.com/p/B4-V8Ibp-pZ/…

Last keynote of #PyDataCambridge : Kenneth Harris @ucl on the complexity of the Human brain and its implications for machine learning: many different types of neurones in the brain, as compared to one type in neural networks

Prof Kenneth Harris, from @ucl, closes PyData Cambridge with a talk on ‘How does the brain work?’. A great way to bring us to the end of a fascinating and exciting weekend of all things Data Science! Thank you to everyone that attended! #PyDataCambridge #Python #conference

Post lunch #modeling at #PyDataCambridge @ Cambridge, Cambridgeshire instagram.com/p/B4-M40Yph22/…

Clear and comprehensive presentation on time series by @MaksimSipos, from @CausaLens. I'm impressed by the range of angles touched during this talk (e.g. modeling CNN/RNN, forecasting, AutoML/hyperparameter optimization, causality). #PyDataCambridge

Last session at #PyDataCambridge starts with @JanPipek @PyDataPrague explains on extending @pandas_dev using inheritance, extension arrays or accessors.

Jaymin Mistry @PA_Consulting on using NLP to predict surgery times in NHS hospitals. Concluding with quote by @hadleywickham #PyDataCambridge

Next up is @raphaelmeudec talking about Interpretability for TensorFlow 2.0! From @sicara_fr #PyDataCambridge

Day 2 of #PyDataCambridge starting with David Halliday from Schlumberger!

Creating ML pipelines with Scikit-Learn! #machinelearning #PyDataCambridge #Python

Come to our next @pydata meetup! Federico Garca de Leon advertising us at #PyDataCambridge

@ianozsvald in high performance python. Look out for the second edition of his book from @OReillyMedia @PyData @PyDataCambridge #PyDataCambridge

I jokingly call generative tests "Schrödinger tests" because they are non-deterministic :p Nice talk by @raoulUK ! #PyDataCambridge

First session of the #PyDataCambridge conference : Philip Goddard on ML pipelines with sci-kit learn

Interesting, detailed and concise NLP presentation about what it is, where it is, and where its going by Ekaterina Kochmar, Lecturer at University of Cambridge @PyData @PyDataCambridge #PyDataCambridge

PyData Cambridge is filling up at @AngliaRuskin University! The opening speech is just starting! Let’s get going! #PyDataCambridge #Python @NumFOCUS

Everyone’s had their morning coffee, now time for Stephanie Bracaloni to present ‘Tests and Reliability in ML projects. @ioticlabs #PyDataCambridge #MachineLearning

Don’t forget to use the hashtag #PyDataCambridge. Who else is Is looking forward to the next talk??

Prof Kenneth Harris, from @ucl, closes PyData Cambridge with a talk on ‘How does the brain work?’. A great way to bring us to the end of a fascinating and exciting weekend of all things Data Science! Thank you to everyone that attended! #PyDataCambridge #Python #conference

Hello from #PyDataCambridge! Come to our stall and see how you can deploy data science models as Web apps, with nothing but Python! Plus: Build something with Anvil during #PyData, and get a nifty Anvil T-shirt!

Practical Methods to Optimise Model Stability: Case Study Using Customer- Lifetime Value at Farfetch - with @DavideSarra and @KishanManani @PyData @PyDataCambridge #PyDataCambridge

All set for the next speaker, Ivan Danov from @quantumblack, presenting “A Kedro Mindset for Data Scientist”. #PyDataCambridge

@DomWeldon from @decisionLab_uk presents ‘Dash: Interactive Data Visualisation. Web Apps with No JavaScript’. #PyDataCambridge #Datavisualization #python #dash

After a quick break, coffee batteries recharged, time for our next talk! “Tests and Reliability in ML projects” by Stéphanie Bracaloni. #PyDataCambridge

Clear and comprehensive presentation on time series by @MaksimSipos, from @CausaLens. I'm impressed by the range of angles touched during this talk (e.g. modeling CNN/RNN, forecasting, AutoML/hyperparameter optimization, causality). #PyDataCambridge

The Final Keynote Speaker: @kirstie_j, is closing the day with ‘Reproducible, Inclusive, Collaborative Data Science’. What a great way to end the second day of #PyDataCambridge. #TuringWay #Python #DataScience