Artwork

Contenido proporcionado por Joseph Allen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joseph Allen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

Episode 8 - Mucking around and making things work Ft. Tom Liptrot

47:08
 
Compartir
 

Manage episode 242840245 series 2476678
Contenido proporcionado por Joseph Allen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joseph Allen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Welcome to PyDataMCR episode 8 , today we are talking to Tom Liptrot who is a Consultant Data Scientist at Ortom, a Manchester based Data Science Consultancy.

We talk about how flexibility at work can lead to great data products, some various meetups Tom will be attending and even some stand up comedy.

Show Notes

Sponsors

Arctic Shores - arcticshores.com/

Cathcart Associates - cathcartassociates.com/

Meetups

Pydatamcr - https://www.meetup.com/PyData-Manchester/

Macnml - https://www.mancml.io/

Chester Data Insights - https://www.meetup.com/Chester-Data-Insights/

AiFrenzy - labs.uk.barclays/ai

Crap talks - https://www.meetup.com/CRAP-Talks-CRO-Analytics-Product-Manchester/

Bright festival - http://www.brightclub.org/

Tom

Ortom Data Science Consultancy - https://ortom.co.uk/

DSF blog post - https://ortom.co.uk/2019/03/22/data-fest-2019.html

Packages

Tidyverse - https://www.tidyverse.org/

Pandas - https://pandas.pydata.org/

dplyr - https://dplyr.tidyverse.org/

brms - https://cran.r-project.org/web/packages/brms/index.html

pymc3 - https://docs.pymc.io/

XGBoost - https://cran.r-project.org/web/packages/xgboost/index.html

glmnet - https://cran.r-project.org/web/packages/glmnet/index.html

keras - https://keras.io/

Book recommendation

Andrew Gelman - https://www.amazon.com/Red-State-Blue-Rich-Poor/dp/0691143935

Who you admire

Demis Hassabis - twitter.com/demishassabis?lang=en

Jeff Dean - en.m.wikipedia.org/wiki/Jeff_Dean_(computer_scientist)

Hadley Wickham - http://hadley.nz/

Hannah Fry - http://www.hannahfry.co.uk/

Andy Clark - https://twitter.com/fluffycyborg?lang=en

Karl J. Friston - en.m.wikipedia.org/wiki/Karl_J._Friston

Martin Eastwood - http://www.pena.lt/y/blog.html

Peak.ai - https://peak.ai/

Kayle Haynes - https://twitter.com/KayleaHaynes

Chris boddington - https://www.linkedin.com/in/christopher-boddington-449555112/

  continue reading

19 episodios

Artwork
iconCompartir
 
Manage episode 242840245 series 2476678
Contenido proporcionado por Joseph Allen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Joseph Allen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Welcome to PyDataMCR episode 8 , today we are talking to Tom Liptrot who is a Consultant Data Scientist at Ortom, a Manchester based Data Science Consultancy.

We talk about how flexibility at work can lead to great data products, some various meetups Tom will be attending and even some stand up comedy.

Show Notes

Sponsors

Arctic Shores - arcticshores.com/

Cathcart Associates - cathcartassociates.com/

Meetups

Pydatamcr - https://www.meetup.com/PyData-Manchester/

Macnml - https://www.mancml.io/

Chester Data Insights - https://www.meetup.com/Chester-Data-Insights/

AiFrenzy - labs.uk.barclays/ai

Crap talks - https://www.meetup.com/CRAP-Talks-CRO-Analytics-Product-Manchester/

Bright festival - http://www.brightclub.org/

Tom

Ortom Data Science Consultancy - https://ortom.co.uk/

DSF blog post - https://ortom.co.uk/2019/03/22/data-fest-2019.html

Packages

Tidyverse - https://www.tidyverse.org/

Pandas - https://pandas.pydata.org/

dplyr - https://dplyr.tidyverse.org/

brms - https://cran.r-project.org/web/packages/brms/index.html

pymc3 - https://docs.pymc.io/

XGBoost - https://cran.r-project.org/web/packages/xgboost/index.html

glmnet - https://cran.r-project.org/web/packages/glmnet/index.html

keras - https://keras.io/

Book recommendation

Andrew Gelman - https://www.amazon.com/Red-State-Blue-Rich-Poor/dp/0691143935

Who you admire

Demis Hassabis - twitter.com/demishassabis?lang=en

Jeff Dean - en.m.wikipedia.org/wiki/Jeff_Dean_(computer_scientist)

Hadley Wickham - http://hadley.nz/

Hannah Fry - http://www.hannahfry.co.uk/

Andy Clark - https://twitter.com/fluffycyborg?lang=en

Karl J. Friston - en.m.wikipedia.org/wiki/Karl_J._Friston

Martin Eastwood - http://www.pena.lt/y/blog.html

Peak.ai - https://peak.ai/

Kayle Haynes - https://twitter.com/KayleaHaynes

Chris boddington - https://www.linkedin.com/in/christopher-boddington-449555112/

  continue reading

19 episodios

Todos los episodios

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida