- Presentations
- Documents
- Infographics
Automating Forecasting: The Making Of
Alex Combessie
•
5 years ago
Generative Adversarial Networks for Option Pricing in Real-Time
Alex Combessie
•
5 years ago
Pairs Trading from NYC Algorithmic Trading Meetup November '13
Quantopian
•
10 years ago
Combining the Best Stock Selection Factors by Patrick O'Shaughnessy at QuantCon 2016
Quantopian
•
8 years ago
Genetic Algorithms
Shruti Railkar
•
12 years ago
Introduction to Genetic Algorithms
Ahmed Othman
•
10 years ago
Introduction to NumPy (PyData SV 2013)
PyData
•
11 years ago
Python data structures - best in class for data analysis
Rajesh M
•
7 years ago
[KDD 2018 tutorial] End to-end goal-oriented question answering systems
Qi He
•
5 years ago
Machine Learning and Causal Inference
NBER
•
8 years ago
Clickstream Analysis with Spark
Josef Adersberger
•
8 years ago
File Format Benchmarks - Avro, JSON, ORC, & Parquet
Owen O'Malley
•
7 years ago
Yelp Ad Targeting at Scale with Apache Spark with Inaz Alaei-Novin and Joe Malicki
Databricks
•
6 years ago
"Using ElasticSearch to Scale Near Real-Time Search" by John Billings (Presented at The Yelp Engineering Open House 11/20/13)
Yelp Engineering
•
10 years ago
Scott Clark, CEO, SigOpt, at MLconf Seattle 2017
MLconf
•
6 years ago
"Optimal Learning for Fun and Profit" by Scott Clark (Presented at The Yelp Engineering Open House 11/20/13)
Yelp Engineering
•
10 years ago
Optimal Learning for Fun and Profit with MOE
Yelp Engineering
•
9 years ago
Demystifying the Bias-Variance Tradeoff
Ashwin Rao
•
6 years ago
Machine Learning by Analogy II
Colleen Farrelly
•
6 years ago
Machine Learning by Analogy
Colleen Farrelly
•
8 years ago