What Is Causal Inference?
An Introduction for Data Scientists
Hugo Bowne-Anderson
Hugo Bowne-Anderson is a data scientist, educator, evangelist, content marketer, and data strategy consultant, with extensive experience at Coiled, a company that makes it simple for organizations to scale their data science seamlessly, and DataCamp, the online education platform for all things data. He also has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open source software, both for individuals and the enterprise.
Radar
MLOps and DevOps: Why Data Makes It Different
Machine Learning’s deployment stack is maturing
Hand Labeling Considered Harmful
Labeling training data is the one step in the data pipeline that has resisted automation. It’s time to change that.
InfoTribes, Reality Brokers
The InfoLandscape is fractured and shared reality is breaking down: who have become our Reality Brokers?
Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science
All-in-one platforms built from open source software make it easy to perform certain workflows, but make it hard to explore and grow beyond those boundaries.
Decision-Making in a Time of Crisis
A Bad Outcome Doesn't Mean a Bad Decision
When models are everywhere
The unreasonable importance of data preparation
Your models are only as good as your data.