Machine Learning LinkLog #1
abstract- by Vee https://flic.kr/p/bWtddh

Machine Learning LinkLog #1

This is the first in an occasional series of LinkLog posts. I list links to interesting items on Machine Learning and allied topics.

The links are aimed at the general reader or, perhaps, technical manager who wants to learn about Machine Learning, but is not aiming to be a practitioner. (If you are interested in more technical links, then check out my longer smyles blog posting https://stuartmyles.blogspot.com/2017/01/machine-learning-linklog-1.html).

What is Machine Learning?

Short, two-and-a-half minute explainer video from Oxford Sparks ("the amazing stories of science taking place at the University of Oxford"). Accurate and accessible though potentially misleading as it implies that people aren't needed at all. (Note that the doesn't say this directly but you have to listen carefully to pick up that nuance). Avoids the use of unnecessary jargon.

https://www.youtube.com/watch?v=f_uwKZIAeM0

Hype vs. Reality: The AI Explainer

Twenty eight slide explainer deck from Luminary Labs. Covers the different aspects of AI that are currently en vogue. Attempts to predict what is likely to actually succeed and what it probably just hype or misunderstanding.

https://www.slideshare.net/LuminaryLabs/hype-vs-reality-the-ai-explainer

Top 10 Hot Artificial Intelligence (AI) Technologies

An overview of the findings from a Forrester Research report about Artificial Intelligence in 2017.

https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/#2510ffab42de

Kristen Stewart co-wrote a paper on machine learning

The actress and director co-authored a paper on 'style transfers'. This is a neural-network technique to blend the content of one photo with the style of another. (It is popular with apps such as Prisma). Stewart and her team used the technique in her directoral debut "Come Swim" to create dream-like sequences in the film. The paper describes tricks she used to better control the style transfer effects. This article links in depth technical topics (neural networks and visual processing) with consumer products (feature films).

https://www.engadget.com/2017/01/20/kristen-stewart-paper-style-transfers-come-swim/

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