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The Dirty Little Secret Every Data Scientist Knows (but won’t admit)
Most people don’t realize, but the actual “fancy” machine learning algorithm is like the last mile of the marathon. There is so much that must be done before you get there!
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Neural Network based Startup Name Generator
How to build a recurrent neural network to generate suggestions for your new company’s name.
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Presto for Data Scientists – SQL on anything
Presto enables data scientists to run interactive SQL across multiple data sources. This open source engine supports querying anything, anywhere, and at large scale.
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Don’t learn Machine Learning in 24 hours
When it comes to machine learning, there's no quick way of teaching yourself - you're in it for the long haul.
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Onboarding Your Machine Learning Program
Machine Learning's popularity is continuing to grow and has engraved itself in pretty much every industry. This article contains lessons from a data scientist on how to unlock it's full potential.
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Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
By Dan Clark, KDnuggets on April 11, 2018 in Algorithms, Clustering, Convolutional Neural Networks, Decision Trees, Machine Learning, Neural Networks, PCA, Regression, SVMIt's important for data scientists to have a broad range of knowledge, keeping themselves updated with the latest trends. With that being said, we take a look at the top 10 machine learning algorithms every data scientist should know.
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 Why so many data scientists are leaving their jobs
We look at some of the big challenges and frustrations that data scientists face on a regular basis.
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How To Choose The Right Chart Type For Your Data
The power of charts to assist in accurate interpretation is massive and that's why it is vital to select the correct type when you are trying to visualize data.
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Semantic Segmentation Models for Autonomous Vehicles
State-of-the-art Semantic Segmentation models need to be tuned for efficient memory consumption and fps output to be used in time-sensitive domains like autonomous vehicles.
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Principles of Guided Analytics
KNIME outline their guided analytics system and explain how this can assist data scientists to predict future outcomes.
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