COVID-19 Response: Athena Project and an Introduction Bayesian Analysis
An introduction to the Athena project and using bayesian analysis for COVID-19 modeling.
Dr. Phil Winder
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5 minMore articles
Page 12 of 20
Dr. Phil Winder
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5 min
How to Start a Data Science Project With No or Little Data
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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11 min
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
This presentation will discuss in what circumstances bad data can affect your project along with some high-profile case studies. We will then spend as much time as we have going through some of the techniques you will need to fix that bad data. This is aimed toward those with intermediate-level Data Science experience.
Dr. Phil Winder
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1 min
Fast Time-Series Filters in Python
Learn about how to implement the fastest time-series filters in Python.
Dr. Phil Winder
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7 minA Comparison of Reinforcement Learning Frameworks
A comparison of Reinforcement Learning frameworks focusing on modularity, ease of use, flexibility and maturity by Phil Winder
Dr. Phil Winder
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37 min
Announcement: New Reinforcement Learning Book with O'Reilly
Announcement: I have agreed to write a new book for O'Reilly on Reinforcement Learning. Read more.
Dr. Phil Winder
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4 min
Google Releases AI Platform with help from Winder.AI
Google has announced a new range of AI products to help Engineers rapidly develop and deploy models. Winder.AI helped develop content for the AI-Hub.
Dr. Phil Winder
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3 minDevOps and Data Science: DataDevOps?
DataDevOps or often just DataOps, is the combination of DevOps and Data Science. The goal is to empower Data Scientists to build reliable software. The downside, you need to be an expert at everything! Read more.
Dr. Phil Winder
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8 min
Local Jenkins Development Environment on Minikube on OSX
Instructions how to deploy a local version of Jenkins running on minikube. These instructions are for OSX, but it shouldn't be too hard to port to an another OS.
Dr. Phil Winder
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4 min
Scikit Learn to Pandas: Data types shouldn't be this hard
A little bit of research turned into a rant asking why is it so difficult to use two of the most popular Data Science libraries together? And a little bit about Scikit Pandas.
Dr. Phil Winder
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5 minNewsletter
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