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Weekly Selection – Jul 27, 2018

Mario vs. Wario: Image Classification in Python

By Eryk Lewinson – 8 min read

From my preschool times I remember spending a lot of time playing games on my favourite Game Boy . Two of my favourite platforming games were Mario and Wario. I remember when my grandmother took a look at the game I was playing and asked me what it was. I explained that it was Super Mario.


Why "data for good" lacks precision

By Sara Hooker – 13 min read

I just returned from a fantastic week in Stockholm attending International Conference on Machine Learning (ICML) 2018. One of the most active informal communities at ICML was the "data for good" community. We organized a few spontaneous lunches where I met some incredible researchers and applied practitioners.


Machine Learning for Retail Price Recommendation with Python

By Susan Li – 6 min read

Mercari, Japan’s biggest community-powered shopping app, knows one problem deeply. They’d like to offer pricing suggestions to sellers, but this is tough because their sellers are enabled to put just about anything, or any bundle of things, on Mercari’s marketplace.


How to get the right data? Why not ask for it?

By William Koehrsen – 6 min read

While the technical skills of data science – think modeling with a gradient boosting machine – get most of the attention, other equally important, general-purpose problem-solving abilities can be overlooked.


Coursera’s Deep Learning Masterclass

By Sohan Choudhury – 10 min read

I was just eight when Iron Man came out, and watching it left me awestruck. What was there not to love? Superhero tech, daring action, and Robert Downey Jr.’s cocky genius kept my heart pumping and my eyes glued to the screen.


Deep learning and Soil Science

By José Padarian – 7 min read This is the first article of a Series that I am devoting to the use of Deep Learning in Soil Science. My motivation is to show that Deep learning is useful for things other than to classify photos of cats and dogs, or sentiments. Not that there’s anything wrong with cat and dogs, but there are million of examples of that already…


How to lie with Data Science

By Dima Shulga – 10 min read

Recently I read the book "How to lie with statistics" by Darrel Huff. The book talks about how one can use statistic to make people conclude wrong. I found this an exciting topic, and I think that it is very relevant to Data Science.


Cutting-Edge Face Recognition is Complicated. These Spreadsheets Make it Easier.

By Dave Smith – 20 min read

Machine learning can be complicated…and intimidating to learn when you’re starting out. Spreadsheets on the other hand are simple. They aren’t sexy, but they strip away the distractions and help you visualize what happens behind the code in an intuitive way.


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