Data Science with Guillaume Coqueret

In this conversation, we address Guillaume’s path through programming and how can someone start a journey into Data Science. Also, we debate on the industry and its future opportunities and limitations.

Feel free to reach out to us for feedback or topic/guest suggestions – and enjoy the podcast!

Want to go further? Guillaume shares his recommendations:

François Chollet (Google) is by far my favorite AI contributor both in terms of software & thoughts. The following links are incredibly dense and a bit technical, but worth your time!
medium.com/@francois.chollet/t…losion-5be4a9eda6ec
medium.com/@francois.chollet/w…out-ai-ed9df072b704
www.zdnet.com/article/keras-crea…tion-for-ai-a-q-a/

Gary Marcus (NYU) belongs to the team of experts that warn against the perils of AI overhype.
syncedreview.com/2019/02/15/ai-ha…nemy-yann-lecun/

Yann Lecun (Facebook), Gary’s frenemy:
www.zdnet.com/article/high-energ…ais-next-frontier/

Erik Brynjolfsson (MIT): an expert on AI & big data and how they impact the workplace:
www.hoover.org/research/how-will…form-labor-market
(Famous quote: “Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t.”)

The R community (I had to be brief):
www.r-consortium.org/blog/2019/08/1…unity-explorer
reshamas.github.io/why-women-are-f…ging-in-python/
Some members (non exhaustive list !!!):
The RStudio team: rstudio.com/about/ (some individuals below)
Hadley Wickham (tidyverse): hadley.nz
Yihui Xie (RMarkdown!): yihui.org/en/
Jenny Bryan (tidyverse): jennybryan.org/about/
Mara Averick (tidyverse): maraaverick.rbind.io/about/
Thomas Pedersen (visualizations): www.data-imaginist.com/about
Julia Silge (text mining): juliasilge.com
Kara Woo: karawoo.com
Thomas Mock: thomasmock.netlify.com
Max Kuhn (machine learning): twitter.com/topepos
Joe Cheng (Shiny !!!): rviews.rstudio.com/2017/01/04/inte…with-joe-cheng/