SwissAI Pawel Rosikiewicz

Data Scientist | Biologist | AI Community Organiser | Founder of #SwissAI #AI #ArtificialIntelligence #MachineLearning #Meetup #OnlineEducation

[Onur @onuryuruten]

Let's discuss the ways to align the business and AI technology! See you on 11th of May.

[SwissAI Pawel Rosikiewicz @SwissAI_]

@TalkPython @chipro @mkennedy 👉First Thing to listen tomorrow morning !

[SwissAI Pawel Rosikiewicz @SwissAI_]

@mkennedy @skyler__adams You could also try sed/awk in bash to avoid dependancies

[SwissAI Pawel Rosikiewicz @SwissAI_]

@mkennedy Hi @mkennedy, can you use pandas data frame with multindex ?

[Innovaud @Innovaud]

#Vaud startups ready to rock Barcelona! 🚀 @strocast, @CREAL_3D, @ecoRobotix Kido Dynamics, @ScanTrust among the Venture Leaders Mobile heading for @GSMA in February 2020 ! https://t.co/dDlG7hZa4O via @startuptickerCH #VDtech cc @venturelab_ch

[Innovaud @Innovaud]

Fantastic project by ClearSpace! 🚀#VDtech https://t.co/PjVixjZd4A

[AMLD Intelligence Summit @appliedmldays]

Ed @Snowden will be speaking at #AMLD2020.

His revelations have awakened the world into the new reality of mass surveillance. We look forward to talking to him about machine learning, surveillance, privacy, and his book #PermanentRecord.

[Giotto_ai @giotto_ai]

This 4th of Dec. at @SwissAI_ meet-up, @MatteoCaorsi, who has orchestrated the development of Giotto, will present the reasons to back open source research projects.

📲 Free Registration https://t.co/ZB1r6IaQ6D
🗺️ Where/When:
Wed., 4th Dec. 18:00-22.00, #EPFL, Lausanne

[SwissAI Pawel Rosikiewicz @SwissAI_]

SwissAI Meetup In just 4 days!

[Innovaud @Innovaud]

Promising Swiss AI Conference coming next week in Lausanne #VDtech https://t.co/Mznzhm1clJ

[Giotto_ai @giotto_ai]

Events like @SwissAI meet-up strengthen the community. Free to entry, great talks, it consistently gathers an interesting crowd.
@MatteoCaorsi will be sharing his experience in leading an open-source project from the research ideas to the Azure pipeline to make it happen.

[Innovaud @Innovaud]

Promising Swiss AI Conference coming next week in Lausanne #VDtech https://t.co/Mznzhm1clJ

[SwissAI Pawel Rosikiewicz @SwissAI_]

@mkennedy Another great course on Python by @mkennedy, a person who inspired me to learn that language

[Michael Kennedy @mkennedy]

I'm pressing record on the first video of a new course. I'm trying to make it my most visually striking and beautiful one yet. Here's a slide. I think it'll come nice and appealing.

[SwissAI Pawel Rosikiewicz @SwissAI_]

SwissAI #Meetup on #opensourcesoftware for #AI, #selfdrivingcars and #IP Protection in #techcompanies with four speakers from #academia and #industry
👉 Free Registration https://t.co/tWX7Pa9hKs
👉 Where/When:
Wed., 4th Dec. 18:00-22.00, #EPFL, Lausanne

[Xavier Bresson @xbresson]

My lecture slides on "Deep Reinforcement Learning". I explain step-by-step the popular RL algorithms DQN, REINFORCE, QAC, AAC:
https://t.co/vwAN16t2iA

And theory is supported by PyTorch implementations :)
https://t.co/UKkcgbdj0A

[ricardo chavarriaga @r_chavarriaga]

A pleasure to team up with @MartinCiupa, @SwissAI_ and #DigitalGeneva to talk all thing #AI. In particular, how the great value it can generate can only be achieved if we take a #responsible approach to deal with all the "unknown-unkowns" inherent to #EmergingTechnologies

[SwissAI Pawel Rosikiewicz @SwissAI_]

Full house for @SwissAI - #DigitalGeneva #Meetup with @MartinCiupa and @r_chavarriaga who presented how #technical, #business, #social and #legal considerations are all equally important for successful development and adoption of #AI based products

[SwissAI Pawel Rosikiewicz @SwissAI_]

Full house for @SwissAI - #DigitalGeneva #Meetup with @MartinCiupa and @r_chavarriaga who presented how #technical, #business, #social and #legal considerations are all equally important for successful development and adoption of #AI based products

[François Fleuret @francoisfleuret]

This kind of datasets is usually a game changer.

[Teddy Petrou @TedPetrou]

How to optimize pandas groupby aggregations: a tutorial

1. Avoid groupby.apply at all costs
2. Execute all group-independent operations before grouping
3. Create new DF columns b/c of #2
4. Only use built-in grouby methods
5. Calculate columns that depend on aggregated result