fbpx
Three Challenges for Open Data Science
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
Comparing Features of 4 Popular Machine Learning Platforms
Machine learning, the term and the technology, has been of paramount importance and relevance in the context of computational applications for years. Arthur Samuel first came up with the word “machine learning” in 1957. Machine learning is basically a part of artificial intelligence that evolves through... Read more
The Potential of Communities and Machine Learning for Good
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
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
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
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
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
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
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
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