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Translating Between Computer Science and Statistics

Terence Parr: “I am a computer scientist retooling as a machine learning droid and have found the nomenclature used by statisticians to be peculiar to say the least, so I thought I’d put this document together. It’s meant as good-natured teasing of my friends who are statisticians, but it might actually be useful to other computer scientists.

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Becoming a Data Scientist Podcast Special Episode

The hosts of Becoming a Data Scientist podcast, Partially Derivative podcast, Adversarial Learning podcast, and some other awesome data people that do elections forecasting for their day jobs joined together for this talk about the US election and the subsequent major questions surrounding the predictions, since basically all of them heavily leaned toward a different overall outcome than we got.

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The Typical Data Scientist Profile in 2019

Here’s sharing a research done by 365 Data Science! ——-‘Data scientist’ is easily one of the best professions in the world right now. Not only that but it is also one of the newest. This makes things a little tricky for anyone who wishes to enter the field, as discovering which path to take can be like following a dirt trail through a dark forest.

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Podcast Special Episode 2 – The Future of AI with Dr. Ed Felten

In this audio-only Becoming a Data Scientist Podcast Special Episode, I interview Dr. Ed Felten, Deputy U.S. Chief Technology Officer, about the Future of Artificial Intelligence (from The White House!).
You can stream or download the audio at this link (download by right-clicking on the player and choosing “Save As”), or listen to it in podcast players like iTunes and Stitcher.

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So you want to be a data scientist? (Part 1)

“Data Scientist” is definitely the hot new job
description. It is such a new title that the roles and
responsibilities associated with it are still not clearly
defined. What skills do you need to be a data scientist? Well, not
everyone agrees. In this article we will try to be objective by
looking at statistics on what skills employers recruiting data
scientists are looking for.

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Two years as a Data Scientist at Stack Overflow

Last Friday marked my two year anniversary working as a data scientist at Stack Overflow. At the end of my first year I wrote a blog post about my experience, both to share some of what I’d learned and as a form of self-reflection.
After another year, I’d like to revisit the topic.

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Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules

Posted by Alexander B Wiltschko, Senior Research Scientist, Google Research Smell is a sense shared by an incredible range of living organisms, and plays a critical role in how they analyze and react to the world. For humans, our sense of smell is tied to our ability to enjoy food and can also trigger vivid memories.

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Quantum Supremacy Using a Programmable Superconducting Processor

Posted by John Martinis, Chief Scientist Quantum Hardware and Sergio Boixo, Chief Scientist Quantum Computing Theory, Google AI Quantum Physicists have been talking about the power of quantum computing for over 30 years, but the questions have always been: will it ever do something useful and is it worth investing in?

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Presentation Tips for Data Professionals

Not so long ago, I saw one of my data scientist friends speak in front of his whole company. He worked for two months on a great data project and he got some very cool findings with significant business value. He had 15 minutes to present everything. Unfortunately, he is not an experienced public speaker and his presentation didn’t go well.

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Demystifying Data Science in the industry

On June the 7th I had a quick introductory talk at AssoLombarda in Milan regarding the role of Data Scientist into the 4th industrial revolution.
My presentation is an introduction to what Data Science in the industry is and what is not.
If you would like to know more about the Data Science Milan community visit www.datasciencemilan.

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Data Mining versus (?) Data Science

Two of my favorite answers are:”A data scientist is a statistician who lives in San Francisco””A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.”(These have both circulated around the web, although the second is attributed to Josh Wills.

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