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Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
6 years ago
Feature Engineering
HJ van Veen
•
7 years ago
Tips for data science competitions
Owen Zhang
•
8 years ago
10 R Packages to Win Kaggle Competitions
DataRobot
•
9 years ago
Self-Organising Maps for Customer Segmentation using R - Shane Lynn - Dublin R
shanelynn
•
10 years ago
General Tips for participating Kaggle Competitions
Mark Peng
•
8 years ago
Churn management
Mohammed Akram Ayyubi
•
10 years ago
Markov model for the online multichannel attribution problem
adavide1982
•
8 years ago
Deep Learning for Personalized Search and Recommender Systems
Benjamin Le
•
6 years ago
Pedro Domingos, Professor, University of Washington at MLconf ATL - 9/18/15
MLconf
•
8 years ago
Introduction to Data Science and Analytics
Srinath Perera
•
8 years ago
Feature Engineering - Getting most out of data for predictive models
Gabriel Moreira
•
7 years ago
Converting Scikit-Learn to PMML
Villu Ruusmann
•
6 years ago
Skytools: PgQ Queues and applications
elliando dias
•
14 years ago
Uplift Modeling Workshop
odsc
•
8 years ago
NLP with H2O
Sri Ambati
•
7 years ago
Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned
Benjamin Le
•
6 years ago
Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial
Qiang Zhu
•
7 years ago
Automatic and Interpretable Machine Learning with H2O and LIME
Jo-fai Chow
•
6 years ago
Model selection and tuning at scale
Owen Zhang
•
8 years ago