As a business, how should you embark on a data science project? Should you be using cloud-native technologies? In this interview, Phil Winder discusses how he operates with other businesses to build businesses of the future.
Dr. Phil Winder
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5 min
Learn how Winder.AI delivered an NLP platform to a large enterprise in the oil and gas industry.
Dr. Phil Winder
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3 min
A look at what software development looks like in real-life.
Dr. Phil Winder
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15 min
Deploying ML models is hard, right? Not with this Docker-based workflow!
Dr. Phil Winder
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7 min
Building a hierarchical logistic model of COVID-19 cases in pymc3.
Dr. Phil Winder
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28 min
Building upon the previous simple exponential model, in this post I look at using a logistic model for modeling COVID-19 cases.
Dr. Phil Winder
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8 min
Building upon the previous simple exponential model, I implement backtesting to quantify prediction error.
Dr. Phil Winder
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6 min
Learn how to use pymc3 for Bayesian modelling of COVID-19 cases.
Dr. Phil Winder
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5 min
An introduction to the Athena project and using bayesian analysis for COVID-19 modeling.
Dr. Phil Winder
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5 min
Little data? No problem! Best practices for starting an ML project with little or no data. Also how to handle sensitive data and recommendations on what models to use.
Hajar Khizou
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12 minCase studies and industry analysis from our team. No hype, roughly monthly.