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.Read Full Story
Lately I’ve read a lot of attempts at defining data scientist and differentiating it from other data-centric roles. The terms ‘data scientist’, ‘data analyst’, and ‘data engineer’ are obviously interrelated. But recently I’ve seen some weird definitions of them.Read Full Story
I’ve decided that I want to have Becoming a Data Scientist t-shirts to sell and to give out to podcast guests and contest winners, but I am not a graphic designer, so I need some help! So I’m going to have a t-shirt design contest!
Here are the rules/guidelines for entry:
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.Read Full Story
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.Read Full Story
In this first episode of “Season 2” of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scientist.Read Full Story
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.
In the last year, the data scientist has been called “the sexiest job of the 21st century.Read Full Story
“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.
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.
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn, about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.Read Full Story
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.Read Full Story
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?Read Full Story
Posted by Michael S. Ryoo, Research Scientist and AJ Piergiovanni, Student Researcher, Robotics at Google Video understanding is a challenging problem. Because a video contains spatio-temporal data, its feature representation is required to abstract both appearance and motion information.Read Full Story
If you are interested in building an industrial Reinforcement Learning platform, we are hiring a data scientist and multiple developers as a followup to last year’s hiring.Read Full Story
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.Read Full Story
When I introduce myself as a data scientist, I often get questions like “What’s the difference between that and machine learning?” or “Does that mean you work on artificial intelligence?Read Full Story
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.
The title of “data scientist” is often used pretty vaguely, and that’s because there are so many way to be a data scientist. For every specialty and job responsibility, there are corresponding personality types and skills to match.Read Full Story
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.Read Full Story