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