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Dmitry Petrov
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  • San Francisco Bay Area, CA
  • United States
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micahwilliams commented on Dmitry Petrov's blog post Data Version Control: iterative machine learning
"A machine learning algorithm uses data to perform a specific task. The most common types of algorithms are: Supervised learning uses training data that has already been labeled and structured. By specifying a set of inputs and desired outputs, a…"
Dec 7, 2017
Dmitry Petrov liked Marija Zoldin's blog post Best practices of orchestrating Python and R code in ML projects
Nov 11, 2017
Dmitry Petrov replied to David P. Jurist's discussion What home computer platform do you recommend for a data science practitioner?
"As far as I know - there is no way to use CUDA on Mac Book Pro properly. I personally, did not buy the GPU version of Mac Book Pro for this reason. But it was 2 years ago - I don't know much about new Mac laptops."
Oct 23, 2017

Profile Information

Short Bio
Data Scientist. Created http://dataversioncontrol.com . Ex-Data Scientist @Microsoft. Ex-Researcher. PhD in CS. Blogger at http://fullstackml.com
My Web Site Or LinkedIn Profile
http://fullstackml.com
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Other
Years of Experience:
10
Your Job Title:
Data Scientist
Interests:
Finding a new position, Networking, New venture, Other

Dmitry Petrov's Blog

Data Version Control: iterative machine learning

Posted on May 14, 2017 at 9:00pm 1 Comment

It is hardly possible in real life to develop a good machine learning model in a single pass. ML modeling is an iterative process and it is extremely important to keep track of your steps, dependencies between the steps, dependencies between your code and data files and all code running arguments. This becomes even more important and complicated in a team environment where data scientists’ collaboration takes a serious amount of the team’s…

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