Two quick takeaways from MLconf

MLConf San Francisco - 2017

Posted by Rafael Carrascosa 1 month ago Comments

The very best two talks of MLconf were given by women: June Andrews and Franziska Bell. Worried about the gender gap in data science? Here, have some, knock yourself out.

Counter Intuitive Machine Learning for the Industrial Internet of Things

June Andrews -- GE Digital

My personal favourite talk: A good mix of best product practices and a kickass engineering process. I will totally incorporate things from their ‘Machine Learning Product Development Cycle’ into my own teams… good stuff!

A video of the talk is not available yet, but checkout the slides for a hint of how the process looks like: https://www.slideshare.net/JuneAndrews/counter-intuitive-machine-learning-for-the-industrial-internet-of-things-81862870/1

Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber

Franziska Bell -- Uber

A hardcore applied machine learning talk. If you wanted to see some ML engineering goodness without all the product distractions, then this is it, this is *that talk* at MLconf. Read the blog posts and enjoy:

https://eng.uber.com/neural-networks/

https://eng.uber.com/neural-networks-uncertainty-estimation/

If you want more, here is another MLconf takeaway review: https://towardsdatascience.com/7-takeaways-from-mlconf-sf-1b2703db5ecb


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