Data Conference Databasea Query.Farm index
Speakers

Pedro Tabacof

Employers on the program

  1. 2023Intercom2 talks
  2. 2022WildLife Studios1 talk
Events4
Conferences2
Talks4
Years active2022–2024
Miles between events7984 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • PyData
  • PyCon (national Python conferences)

Talks

DateEventConferenceRoleTitleLinks
Jul 11, 2024PyData Eindhoven 2024PyDatatalkHow I lost 1000€ betting on CS:GO with machine learning and PythonVideo
Nov 11, 2023PyCon Ireland 2023PyCon (national Python conferences)talkHow I lost 1000 euros betting on CS:GO with machine learning
as Intercom
People have been using "machine learning" for sports betting for decades. Logistic regression applied to horse racing made a bettor a multi-millionaire in the…Show less

People have been using "machine learning" for sports betting for decades. Logistic regression applied to horse racing made a bettor a multi-millionaire in the 80s. While fun, betting is a losing proposition for most. The house always wins, right? With a friend, I thought we could beat the house...

Jun 2, 2023PyData London 2023PyDatatalkDeploying Real-Time Machine Learning Models Using Serverless AWS
as Intercom
In this presentation, I will show how to use AWS Lambda and API Gateway to deploy real-time machine learning models developed in Python. I will use these tools…Show less

In this presentation, I will show how to use AWS Lambda and API Gateway to deploy real-time machine learning models developed in Python. I will use these tools to create a serverless web endpoint and serve model predictions with high availability/scalability.

Jun 17, 2022PyData London 2022PyDatatalkUnlocking the power of gradient-boosted trees (using LightGBM)
as Wildlife Studios
Gradient-boosted trees (XGBoost, LightGBM, Catboost) have become the staple of machine learning for tabular datasets. While most data scientists have made use…Show less

Gradient-boosted trees (XGBoost, LightGBM, Catboost) have become the staple of machine learning for tabular datasets. While most data scientists have made use of them at some point, many don’t know the true power those Python libraries provide.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ade Idowu2—2023
Alexander CS Hendorf2—2023
Cheuk Ting Ho2—2023
Ian Ozsvald2—2023
James Powell2—2023
Jim Dowling2—2023
Laszlo Sragner2—2023
Marysia Winkels2—2023
Natan Mish2—2023
Theodore Meynard2—2023
Valerio Maggio2—2023
vincenzo crescimanna2—2023

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.