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DataRobot

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Even though she's not a data scientist, one of DataRobot's business analysts landed in the top 2% of a Kaggle competition. Find out how:
You do not need to be a data scientist to compete in a competition. I know this because I did it. My name is Ina Ko, and I am not a Data Scientist.
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DataRobot

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One of DataRobot's business analysts landed in the top 2% of a Kaggle competition simply by using the power of DataRobot. See how she did it:
You do not need to be a data scientist to compete in a competition. I know this because I did it. My name is Ina Ko, and I am not a Data Scientist.
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The rise of automated data science platforms doesn't have to equal the fall of all data scientists. See our CEO's views on where AI will take the industry :
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Now that the fog has finally lifted from the whirlwind of Strata + Hadoop World New York, we put pen to paper what made this event so different from all past Strata + Hadoop World conferences. See what our team had to say on the blog:
DataRobot attended Strata + Hadoop World in New York the week of September 26, and the fog has finally lifted enough to reflect on the annual conference that gathers thousands of data practitioners in one place for a whirlwind week of cross-industry knowledge exchange, training, tutorials, and networking. One thing that really stood out …
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Strata +Hadoop World NYC 2016 is a wrap! From the entire DataRobot team, we want to thank all of you who stopped by the booth and/or attended our Data Science for Executives session. Until next time!
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Data science can make the world a better place. Find out what types of datasets the U.S. Chief of Data Science thinks will make the most difference: http://buff.ly/2cScgRr
What kinds of data sets have the most impact towards public good? This question was originally answered on Quora by DJ Patil.
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A case study of how one of our clients uses DataRobot's predictive analytics capabilities to improve insights from healthcare data:
Companies in all industries face an acute shortage of data scientists, those digital alchemists who turn raw data into gold. But for the healthcare softwar
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Will automated data science platforms put data scientists out of work? See what our CEO thinks:
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Over the past four years, DataRobot has been in stealth mode. Today, we're peeling back the covers to show you what we've been building! See for yourself in our brand new video tour:
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You don't have to build algorithms yourself in order to start using machine learning. Find out why:
You Don’t Have To Implement Algorithms …if you’re a beginner and just getting started. Stop. Are you implementing a machine learning algorithm at the moment? Why? Implementing algorithms from scratch is one of the biggest mistakes I see beginners make. In this post you will discover: The algorithm implementation trap that beginners fall into. The …
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Want to chat data science with the DataRobot team? Stop by our booth #207 at Strata + Hadoop World today and tomorrow. You can also see our CEO and CTO speaking about data science for executives today at 2:55pm: http://buff.ly/2dqtBi8
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Emerging technologies can also be security risks, so it's good news that the Industrial Internet Consortium is working together to develop best practices to protect themselves.
The Industrial Internet Consortium, a group that includes some of the biggest players in the internet of things, took action on Monday to clear the air around industrial IoT security. It rolled out the Industrial Internet Security Framework, a set of best practices to help developers and users assess risks and defend against them.
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Superpowers as a Service for Data Scientists
Introduction

DataRobot helps you build better predictive models faster in the cloud.


Designed to be your co-pilot, DataRobot builds and tests hundreds of models to find the best match for your data. Integrating with R and Python, our platform allows you to code, train and test your own models to see how they compare.


We empower Data Scientists of all experience levels to quickly find the best model for their data, allowing them to do what they do best -- faster.
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