- Presentations
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HH Data Science Meetup: Explaining complex machine learning models with LIME
Shirin Elsinghorst
•
6 years ago
XGBoost: the algorithm that wins every competition
Jaroslaw Szymczak
•
8 years ago
Tips for data science competitions
Owen Zhang
•
8 years ago
General Tips for participating Kaggle Competitions
Mark Peng
•
8 years ago
Apriori and Eclat algorithm in Association Rule Mining
Wan Aezwani Wab
•
10 years ago
Modeling Electronic Health Records with Recurrent Neural Networks
Josh Patterson
•
8 years ago
PageRank Centrality of dynamic graph structures
David Gleich
•
9 years ago
Architecting a next-generation data platform
hadooparchbook
•
6 years ago
Deep Learning Models for Question Answering
Sujit Pal
•
7 years ago
Ppt shuai
Xiang Zhang
•
7 years ago
A very easy explanation to understanding machine learning (Supervised & Unsupervised Learning)
Ryo Onozuka
•
7 years ago
Connecting Python To The Spark Ecosystem
Spark Summit
•
7 years ago
Jeff Dean at AI Frontiers: Trends and Developments in Deep Learning Research
AI Frontiers
•
7 years ago
From Natural Language Processing to Artificial Intelligence
Jonathan Mugan
•
7 years ago
Machine learning model to production
Georg Heiler
•
7 years ago
NIPS 2016 Highlights - Sebastian Ruder
Sebastian Ruder
•
7 years ago
Bayesian Networks - A Brief Introduction
Adnan Masood
•
10 years ago
Bayesian Belief Networks for dummies
Gilad Barkan
•
9 years ago
Presentation bayesien
Jou Na
•
10 years ago