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Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Alessandra Bilardi
Data / Automation Specialist
@ Corley Cloud
#Kaggle #Competitions
Venice
Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Francesco Patanè
Research Fellow
@ Università di Padova
#Kaggle #Competitions
Venice
Giovedì 29 Febbraio 2024
@PyDataVenice #14 #Meetup #PyData
in presenza e in streaming
alle ore 19:00
Fabio Dal Forno
RPA Engineer
@ Generali Italia
Francesco Patanè
Research Fellow
@ Università di Padova
#Kaggle #Competitions
Venice
Promotori di PyData Venice #14
Agenda
Speech
Prossimo incontro
Spritz
Kaggle Overview
@PyDataVenice #14 #Meetup #PyData
Alessandra Bilardi - Data & Automation Specialist @ Corley Cloud
Agenda
Kaggle in numbers
The platform
Kaggle in numbers
Kaggle history
https://en.wikipedia.org/wiki/Kaggle
Event When Notes
Foundation April 2010 a Kaggle user was the President and
Chief scientist (November 2010)
Acquiring March 2017 Kaggle is under Google LLC
Over 1 million registered users June 2017
Introduced Models February 2023 Users can use pre-trained models
Over 15 millions users October 2023 Users are in 194 countries
Over 17 millions users February 2024
may
open source
with you
Kaggle sections
https://www.kaggle.com/
Section Symbol & alternative name Quantity
Competitions 26000
Datasets 298K
Models 2300
Code 1M
Discussions 4000
Learn 70+ hours
Kaggle users
https://www.kaggle.com/rankings, https://www.kaggle.com/progression
User Symbol Competitions sub / Users
Novices 119K / 16.85M
Contributors, notebook & upvote 69K / 232K
Experts, bronze medals 10K / 16K
Masters, gold medal or silver medals 2K / 2.6K
Grandmasters, gold medals or silver medals 322 / 497
Kaggle users
https://www.kaggle.com/code/steubk/kaggle-grand-masters-map
Kaggle resources
https://www.kaggle.com/docs
Resource Quantity
API (Competitions, Datasets, Notebooks) 3 sections
NVIDIA TESLA P100 GPUs 30h / week
Tensor Processing Units (TPUs) 20h / week
/kaggle/working/ 20 GB
Organizations (Hub) 767
Kaggle is useless for ..
https://allaboutdata.substack.com/p/kaggle-ne-vale-la-pena-e-cosa-si (di Alberto Danese)
Useless Vote
Entrare nel merito di architetture, MLOps e tutto ciò che trasforma un
algoritmo standalone in qualcosa production-ready
2
Imparare a scrivere codice pulito e ben organizzato 5
Kaggle is useful for ..
https://allaboutdata.substack.com/p/kaggle-ne-vale-la-pena-e-cosa-si (di Alberto Danese)
Useful Vote
Comprendere i dati e il problema a livello di business, oltre il solo ML 7
Imparare il tuning degli algoritmi 8
Crearsi un portfolio di veri progetti di AI/ML 8
Conoscere lo stato dell’arte degli algoritmi di AI/ML che davvero
funzionano
9
Imparare il feature engineering, con accorgimenti e trucchetti vari che
non trovate sui manuali universitari e sui libroni di statistica
10
Capire i concetti di overfitting, di validazione e generalizzazione in
scenari complessi
10 e lode
The platform
The platform
my work space
● Competitions
○ Forecasting
○ AI assistants
● Grandmasters
○ Alberto Danese
○ Kalilur Rahman
● Datasets
○ Meta Kaggle
○ COVID-QA
● Models
○ Mixtral
○ MIRNet
Questions ?
@PyDataVenice #14 #Meetup #PyData
Kaggle Competitions
@PyDataVenice #14 #Meetup #PyData
Fabio Dal Forno - RPA Engineer @ Generali Italia
Questions ?
@PyDataVenice #14 #Meetup #PyData
Prossimo incontro
● venerdì 19 aprile ore 19:00
Proposte
Thanks for listening.
@PyDataVenice #14 #Meetup #PyData

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Overview of the Kaggle platform and its competitions