Machine Learning Archives

Machine Learning

Using the ‘What-If Tool’ to Investigate Machine Learning Models

Machine Learning Modeling Machine Learning ml modelsposted by Parul Pandey June 26, 2020

In this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training the model and obtaining predictions from it. To be able to really make an impact and obtain good results, we should also be able to probe and investigate our... Read more

Visualizing Machine Learning Datasets with Google’s FACETS

Data Visualization Machine Learning Modeling Data Visualization Machine Learningposted by Parul Pandey February 2, 2020

There has been a lot of uproar as to how a large quantity of training data can have a tremendous impact on the results of a machine learning model. However, along with data quantity, it is also the quality that is critical to building a powerful... Read more

A Concrete Application of Topological Data Analysis

Machine Learning Modeling Machine Learning Topological Data Analysisposted by Mathieu Carrière January 30, 2020

Today, I will present a Machine Learning application of Topological Data Analysis (TDA), a rapidly evolving field of data science that makes use of topology to improve data analysis. It is largely inspired by one of my projects. Great! Wait… what is TDA? I will start by briefly... Read more

cuSpatial Accelerates Geospatial and Spatiotemporal Processing

Machine Learning Modeling geospatial IoT Machine Learning rapidsposted by RAPIDS October 1, 2019

The Internet of Things (IOT) has spawned explosive growth in sensor data. Location is some of the most important information generated by sensors, and dynamic location is vital in the case of mobile sensors. Examples include: mobile phones (GPS), vehicles, robots, and cameras. [Related Article: The... Read more

What Your Business Needs to Know About Data Variety

Business + Management Featured Post Opinion data data variety Deep Learning Machine Learningposted by Elizabeth Wallace, ODSC September 20, 2019

The bigger your business, the more likely your data is…interesting. Old methods of data collection put data in silos across several departments. The computing power to handle data in all its forms wasn’t there, so breaking it up in the name of agile operations was key.... Read more

ML and Behavioral Economics for Personalized Choice Architecture

Data Science Academic Research Machine Learning Modeling behavioral economics Machine Learning personalized choice architectureposted by ODSC Team September 19, 2019

Personalized choice architecture is a new and interesting field surrounding the idea that we can predict and influence consumers’ choices, ensuring that they get the best product or best outcome possible. In a recent paper by Emir Hrnjic and Nikodem Tomczak (researchers at NUS Business School... Read more

Machine Learning Model Fairness in Practice

Blogs from ODSC Speakers Conferences Data Science for Good Modeling fairness fairness in machine learning Machine Learningposted by Jakub Czakon September 13, 2019

Editor’s Note: See Jakub’s talk about Machine Learning “Model Fairness in Practice” at ODSC West 2019 In the last few years, the interest around fairness in machine learning has been gaining a lot of momentum. Rightfully so: our models are becoming more and more prevalent in... Read more

The Best Machine Learning Research of Summer 2019

Data Science Academic Research Machine Learning Modeling Machine Learning Machine learning research Researchposted by ODSC Team September 11, 2019

Academic institutions, AI labs, and research departments of other organizations are constantly generating novel insights into data science, whether it’s machine learning, deep learning, NLP, or other disciplines. Summer 2019 generated some interesting machine learning research, and here are a few of our top picks. [Related... Read more

FSGAN: Subject Agnostic Face Swapping and Reenactment

Data Science Academic Research Machine Learning Modeling face swapping GANs Machine Learningposted by ODSC Team September 9, 2019

Generative adversarial networks are getting a lot of press as the general public raises their fears on the forgery techniques, but the data science community has been tracking their development, precision, benefits, and threats for years. Recently though, the team of Yuval Nirkin, Yosi Keller (both... Read more

The History and Future of Machine Learning at Reddit

Conferences Machine Learning Modeling Machine Learning redditposted by ODSC Team September 4, 2019

Let’s take a walk through the history of machine learning at Reddit from its original days in 2006 to where we are today, including the pitfalls and mistakes made as well as their current ML projects and future efforts in the space. Based on a talk... Read more