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Resources for data scientists and business leaders.
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Explorium for Business
No other platform does it all: automatically join your data with a broad range of datasets, extract and select the best set of features, and build production-ready models.
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Read ArticleUnderstanding and Handling Data and Concept Drift
Over time, ML models start to lose predictive power due to a concept known as model drift. How can you spot data and concept drift and avoid it? Read more.
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Feature Generation: The Next Frontier of Data Science
It's time to take feature generation - a subset of feature engineering - from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
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The Essential Guide to Feature Selection
Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong.
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Read ArticleSupport and Coverage – Data Integration Metrics You Should Know
Data enrichment is a crucial step in the modeling process that data scientists tend to overlook due to the difficulty in finding and utilizing external sources.
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Read Article5 Steps to Mine Hidden Gold Out of An External Data Source
Extracting gold from an external data source is all about data prep. Follow these five steps and you’ll be well on your way to creating golden enrichments.
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Learn to turn the "art" of feature generation into a science.
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Data Scientists and Augmented Data Discovery: A Match Made in Heaven
Data science automation has historically focused on hyperparameter tuning and model optimization but now it’s time to see how new tools can empower data scientists to use more and better data.
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Read ArticleIt’s Official: Online Lenders Can No Longer Afford to Ignore Alternative Data
You don’t know what you don’t know, as the old saying goes. But in the age of Big Data, you simply can’t afford to shrug off "unknown unknowns".
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Read ArticleStay Inside The Lines: Coloring With Artificial Intelligence
Can you teach AI to color better than a human? Using a generative adversarial network we can certainly try.
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The Complete Guide For Data Acquisition
This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.
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Read ArticleExtend Your Machine Learning Pipeline With Your Prediction Outcome
Does your machine learning pipeline end after your model makes a prediction? If your answer is “yes,” it doesn’t have to be.
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GlassesUSA.com Uses Explorium to Grow Revenue by Double Digits
GlassesUSA.com increased both conversion rate and order value with Explorium, which lead to a 15-20% increase in the per-session value for their affected segments.
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AI is Making BI Obsolete, and Machine Learning is Leading the Way
Why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data with machine learning.
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Read ArticleClustering — When You Should Use it and Avoid It
Cluster analysis is an essential tool for data scientists but it shouldn’t be your only one. Discover when you should, and shouldn’t, use clustering.
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Explorium Solution Brief
Explorium is the only full-stack solution that encompasses automated data enrichment, feature engineering, and predictive modeling.
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Read ArticleAI Across the Funnel: The Use Cases You’re Missing Out On
Building core operations around ML models has helped many companies thrive across many other verticals. Still, others wait to implement at a large scale. Why?
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Read ArticleThe Top Six Must-Attend Data Science Conferences Coming in 2020
These data science conferences will ensure your 2020 is packed with lots of learning and networking opportunities.
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Read ArticleCracking The Stability of Feature Selection
Some feature selection strategies may perform well when created but tend to break when tested later, meaning that some features are unstable and may perform badly on new data.
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Read ArticleThe Complete Guide to Decision Trees
Decision trees are one of the most popular algorithms out there but how much do you really know about them? This technical deep-dive breaks down everything you need to know.
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Read Article2020: The Year Data Dominates Data Science
From data economy growth to KPI-driven DS teams, our data science predictions for 2020 are all about the data.
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