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