Multi Gigabyte R data.table for Ohio Voter Registration/History
Summary: This blog details R data.table programming to handle multi-gigabyte data. It shows how the data can be efficiently loaded, “normalized”, and counted....
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Use the Data Insights Iceberg to Manage Stakeholder Expectations
One of the main challenges in data science projects is managing stakeholder expectations. Often those in the business will have little idea of the complexity and timescal...
A beginner’s guide to BigQuery Sandbox and exploring public datasets.
As you might realize by now, writing SQL queries is one of the essential skills any inspiring data analyst needs to master. After all, larger datasets are typically store...
It's time for Time-series Databases
The history of Database management systems could be interpreted as a Darwinian evolution process. The dominance of relational databases gives way to the data warehouses o...
Wanna Build an AI-powered Organization? Start by Getting EVERYONE to “Think Like A Data Scientist”
In a recent blog I stated that “Crossing the AI Chasm” is primarily an organizational and cultural challenge, not a technology challenge. That “Crossing the AI ...
A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques
This article was written by Bob Hayes. Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by...
Schmarzo’s Big, Hairy, Audacious Data Analytics Predictions for 2020
Ah, it’s that time of year when everyone is making predictions about next year and extrapolating from the previous year’s trends to create logical, pragmatic predicti...
AI Robotization with IRIS Data Platform
AI Robotization with IRIS Data Platform Author: Sergey Lukyanchikov Fixing the terminology A robot is not expected to be either huge or humanoid, or even material (in dis...
Using "record id's" to facilitate processing in Python-Pandas and R-data.table.
Both R and Python-Pandas are array-oriented platforms that support fast filtering through vectors of record-id’s. In Python-Pandas, such vectors are implemented via...
10 Visualizations Every Data Scientist Should Know
This article is by Jorge Castañón, Ph.D., Senior Data Scientist at the IBM Machine Learning Hub. Data visualization plays two key roles: 1. Communicating results clea...