July 30, 2019
Joint Predictions for Multiple Arrival Times
June 24, 2019
Scaling Cloud Costs Startup Style
January 28, 2019
Designing Enterprise Products
December 6, 2018
Building Trustable Enterprise Data Science Products
November 14, 2018
The Role of Analytics at an AI Company
September 20, 2018
BFS (Big Freaking Storage)
August 14, 2018
The Mondrian Process: Digging Out The Roots Of Mondrian Trees
July 27, 2018
Bootstrapping Data for Significance Testing
July 20, 2018
Sheltering Models: Machine Learning Engineering as a Gradual Need
July 12, 2018
AI: The Next Evolution of Automation
July 5, 2018
How to Improve Spark SQL Query Times
June 4, 2018
Bayesian Table Tennis: Building a Hierarchical Table Tennis Ranking Model
April 3, 2018
What to Ask Before Joining an AI Startup
February 26, 2018
LSTM, RFM, LMFAO – Making Sense of Data Science Acronyms with a Deep Dive
August 21, 2017
The Hard Thing about Machine Learning
July 4, 2017
Building A Table Tennis Ranking Model
April 26, 2017
Data Science at Rubikloud
March 15, 2017
What makes a good recommender system?
February 2, 2017
Gradient Boosting to the Xtreme – Part 2
January 23, 2017
Gradient Boosting to the Xtreme – Part I
Definition of Done
We are a collection of talented engineers, retail experts and incredibly bright data scientists who are disrupting the retail industry with artificial intelligence.
Explores innovative machine learning algorithms.
Develops sophisticated web applications to empower clients.
Develops and optimizes generic data platform tooling and internal ETL platform.
Defines the Product Roadmap.
Provides consistent brand experience across all media.
© Copyright 2019 Rubikloud Technologies Inc.