More Machine Learning in your Google Sheets
It’s been a while since the first version of BigML’s add-on for Google Sheets. The post announcing it described how
Category: Algorithms
Machine Learning Fights Cannibalization in the Retail Industry
This guest post is authored by Olena Skarlat, Stefanie Pichler, Beatrice Bunjaku, and Pamela Martin, from Vertical Market Solutions at
Machine Learning in Industrial Chemicals: Process Quality Optimization
This post is the last in our series of 5 blog posts highlighting use case presentations from the 2nd Edition
Machine Learning in Business Services: Applying Topic Modeling to improve Call Center Operations
This post is a continuation of our series of blog posts highlighting presentations from the 2nd Edition of Seville Machine
Machine Learning in Industrial Machinery: Optimization of Passenger Waiting Time for Elevators
This post is a continuation of our series of blog posts highlighting presentations from the 2nd Edition of Seville Machine
Predicting the 2020 Oscars Winners with Machine Learning
This year, we continue the tradition of predicting the winners of the most anticipated movie awards of the year, The
AutoML: BigML Automated Machine Learning
Last year, BigML launched the OptiML resource for Automatic Model Optimization. Without a doubt, it has marked a milestone in
Deep Learning, Part 3: Too Deep or Not Too Deep? That is the Question
In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first,
Deep Learning, Part 2: Depth Charge
In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from
Deep Learning, Part 1: Not as Deep as You Think
Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent
