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Dmitry Petrov
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  • San Francisco Bay Area, CA
  • United States
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Eron Lloyd liked Dmitry Petrov's blog post Data Version Control: iterative machine learning
May 22
Petr Travkin liked Dmitry Petrov's blog post Data Version Control: iterative machine learning
May 18
Man on the Middle liked Dmitry Petrov's blog post Data Version Control: iterative machine learning
May 17
Dmitry Petrov's blog post was featured

Data Version Control: iterative machine learning

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 effort.Today, we are pleased to announce the beta…See More
May 17
Dmitry Petrov posted a blog post

Data Version Control: iterative machine learning

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 effort.Today, we are pleased to announce the beta…See More
May 17
Dmitry Petrov updated their profile
May 14
Dmitry Petrov replied to David P. Jurist's discussion What home computer platform do you recommend for a data science practitioner?
"The first thing I'd suggest to focus on is RAM memory size - more memory is always better for analytics and machine learning. Here is my related blog post "How Much Memory Does A Data Scientist Need?" and a discussion in the comments:…"
Jul 6, 2016
Dmitry Petrov was featured
Oct 14, 2015
Dmitry Petrov commented on Vincent Granville's blog post Black-box Confidence Intervals: Excel and Perl Implementation
"This is just a terminology issue. When I present a result I cannot say this is "confidence interval" because of people assume this as a regular statistical CI. Nor I don't want to explain this methods to an audience. I'd prefer…"
Sep 20, 2015
Dmitry Petrov commented on Vincent Granville's blog post Black-box Confidence Intervals: Excel and Perl Implementation
"I agree that this approach is not correct form a statistical point of view.Why this method can be interesting? Because it is easy to implement in SQL\NoSQL\Hadoop and run on top of terabytes data set. I use one simple hypothesis testing method…"
Sep 20, 2015

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
Field of Expertise
Analytics, Big Data, Data Science
Professional Status
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 0 Comments

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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