Machine Learning for MBAs? Yes, they can!
Two weeks ago, I had the chance to conduct a workshop at The University of California, Berkeley’s Haas School of
Author: atakancetinsoy
Introduction to Linear Regression
BigML’s upcoming release on Thursday, March 21, 2019, will be presenting our latest resource to the platform: Linear Regressions. In this post, we’ll
Build your own models to predict the 2019 Oscars
It’s that time of the year when movie fans around the world get glued to their TVs sucking in everything
Recapping BigML’s 2018 in Numbers
Another year has gone by in a hurry in the Machine Learning world of BigML. 2018 saw the interest in
Introduction to Principal Component Analysis: Dimensionality Reduction Made Easy
BigML’s upcoming release on Thursday, December 20, 2018, will be presenting our latest resource to the platform: Principal Component Analysis (PCA). In this
Introduction to Data Transformations
In this post, we’ll do a quick introduction to Data Transformations before we move on to the remainder of our
Better Model Performance Through Algorithmic Diversity
With the upcoming release on Thursday, July 12, BigML keeps pushing the envelope for more people to gain access to and make
Introduction to OptiML: Automatic Model Optimization
BigML’s upcoming release on Wednesday, May 16, 2018, will be presenting a new resource to the platform: OptiML. In this post, we’ll do a
Fireside Chat with Tom Dietterich
BigML’s Chief Scientist, Emeritus Professor Tom Dietterich was recently interviewed by Eric Horvitz as part of Microsoft Research’s Fireside Chat
Rethinking the Legal Profession in the Age of ML
By now, Machine Learning is soundly in the public domain as its wide impact is being felt across many industries
The Official Blog of BigML.com 