Machine Learning Archives

Machine Learning

Three Challenges for Open Data Science

Conferences Machine Learning odsc east open data scienceposted by Paxtyn Merten September 27, 2018

There are three types of lies: lies, damned lies, and ‘big data.’ That’s the message Amazon machine learning director Neil Lawrence began his ODSC Europe 2016 lecture with before laying out the three largest challenges for open data science and our data-centered society. As Lawrence sees... Read more

The Potential of Communities and Machine Learning for Good

Data Science for Good Data Science for Good Machine Learningposted by Rudradeb Mitra September 21, 2018

For any technology to be successful, it needs to move from the early adopter market segment to the majority, i.e., crossing the chasm. Up until now, machine learning has been primarily in the hype phase and adoption has been mostly driven by the early adopters and innovators.... Read more

Machine Learning for Beginners – a How-to Guide

Modeling Machine Learningposted by Spencer Norris, ODSC September 7, 2018

Addressing the audience at Open Data Science Conference 2017 in Boston, Kirill Eremenko and Hadelin de Ponteves stepped listeners through a collection of different machine learning techniques spanning a wide breadth, explaining the basics behind each to get users off the ground. This is a great... Read more

Pervasive Simulator Misuse with Reinforcement Learning

Deep Learning Modeling Machine Learningposted by John Langford March 28, 2018

The surge of interest in reinforcement learning is great fun, but I often see confused choices in applying RL algorithms to solve problems. There are two purposes for which you might use a world simulator in reinforcement learning: Reinforcement Learning Research: You might be interested in creating reinforcement... Read more

Machine Learning Trick of the Day (7): Density Ratio Trick

Deep Learning Modeling Statistics Machine Learningposted by Shakir Mohamed February 6, 2018

A probability on its own is often an uninteresting thing. But when we can compare probabilities, that is when their full splendour is revealed. By comparing probabilities we are able form judgements; by comparing probabilities we can exploit the elements of our world that are probable;... Read more

The Barbell Effect of Machine Learning

Modeling Predictive Analytics Machine Learningposted by Nick Beim November 13, 2017

If there is one technology that promises to change the world more than any other over the next several decades, it is arguably machine learning. By enabling computers to learn certain things more efficiently than humans and discover certain things that humans cannot, machine learning promises... Read more

Why Machine Learning Is A Metaphor For Life

Business + Management Modeling Predictive Analytics Technology Machine Learningposted by Adit Deshpande October 15, 2017

Seriously. Hear me out on this. The more I learn about ML, the more I see the number of similarities there are between life and machine learning concepts. Specifically, let’s think about neural networks. Let’s think of a neural net that has a bunch of input nodes... Read more

What is Machine Learning?

Blog Modeling Machine Learningposted by Neil Lawrence August 12, 2017

In this post we’ll provide a general introduction to machine learning, which tries to highlight the underlying technical challenges and where we have solutions. Machine learning is the principle technology underpinning the recent advances in artificial intelligence. But what is machine learning? And why is it... Read more

ML: An In-Depth Guide – Unsupervised Learning, Related Fields, and ML in Practice

Blog Modeling Machine Learningposted by Alex Castrounis August 10, 2017

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the fifth and final article in a five-part series about machine... Read more

Machine Learning: An In-Depth Guide – Model Performance and Error Analysis

Blog Modeling Machine Learningposted by Alex Castrounis August 3, 2017

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the fourth article in a five-part series about machine learning. In... Read more