Eyad Sibai
106
Followers
Personal Information
Unternehmen/Arbeitsplatz
Stockholm, Sweden Sweden
Beruf
Machine Learning Engineer / Data Scientist
Branche
Finance / Banking / Insurance
Webseite
http://eyad.ninja
Info
Artificial Intelligence, Data Mining, Scientific Applications, Databases, Data Analysis, Statistical Analysis Pythonista, Big Data, Data Science, Machine Learning, Deep Learning
- Präsentationen
- Dokumente
- Infografiken
What's Next: Social Media Trends 2020
Ogilvy Consulting
•
Vor 4 Jahren
Probe Fashion: AI Fashion Platform - pitch deck
Vitalii Duk
•
Vor 4 Jahren
Kaggle Days Madrid - Alberto Danese
Alberto Danese
•
Vor 4 Jahren
Duplicates everywhere (Berlin)
Alexey Grigorev
•
Vor 4 Jahren
Nitin sharma - Deep Learning Applications to Online Payment Fraud Detection
MLconf
•
Vor 5 Jahren
Going beyond “Sorry, I didn’t get that”: building AI assistants that scale using machine learning
Justina Petraitytė
•
Vor 5 Jahren
Applying Statistical Modeling and Machine Learning to Perform Time-Series Forecasting
PyData
•
Vor 5 Jahren
Modern real-time streaming architectures
Arun Kejariwal
•
Vor 6 Jahren
Practical Tips for Interpreting Machine Learning Models - Patrick Hall, H2O.ai
Sri Ambati
•
Vor 5 Jahren
Using ClickHouse for Experimentation
Gleb Kanterov
•
Vor 5 Jahren
From model to experiment Tel Aviv
Elena Sokolova, PhD
•
Vor 6 Jahren
Kaggle Otto Challenge: How we achieved 85th out of 3,514 and what we learnt
Eugene Yan Ziyou
•
Vor 8 Jahren
Kaggle presentation
HJ van Veen
•
Vor 7 Jahren
Tips and tricks to win kaggle data science competitions
Darius Barušauskas
•
Vor 7 Jahren
Deep Learning for Recommender Systems
Yves Raimond
•
Vor 6 Jahren
Intro to TensorFlow and PyTorch Workshop at Tubular Labs
Kendall
•
Vor 7 Jahren
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Vivian S. Zhang
•
Vor 8 Jahren
Design Patterns for Machine Learning in Production - Sergei Izrailev, Chief Data Scientist, BeeswaxIO
Sri Ambati
•
Vor 6 Jahren
Michael Alcorn, Sr. Software Engineer, Red Hat Inc. at MLconf SF 2017
MLconf
•
Vor 6 Jahren