Latest episodes
![GitHub Copilot: yay or nay? (Ep. 159)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
GitHub Copilot: yay or nay? (Ep. 159)
Data Science at Home,![Pandas vs Rust [RB] (Ep. 158)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Pandas vs Rust [RB] (Ep. 158)
Data Science at Home,![A simple trick for very unbalanced data (Ep. 157)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
A simple trick for very unbalanced data (Ep. 157)
Data Science at Home,![Time to take your data back with Tapmydata (Ep. 156)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Time to take your data back with Tapmydata (Ep. 156)
Data Science at Home,![True Machine Intelligence just like the human brain (Ep. 155)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
True Machine Intelligence just like the human brain (Ep. 155)
Data Science at Home,![Delivering unstoppable data with Streamr (Ep. 154)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Delivering unstoppable data with Streamr (Ep. 154)
Data Science at Home,![MLOps: the good, the bad and the ugly (Ep. 153)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
MLOps: the good, the bad and the ugly (Ep. 153)
Data Science at Home,![MLOps: what is and why it is important Part 2 (Ep. 152)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
MLOps: what is and why it is important Part 2 (Ep. 152)
Data Science at Home,![MLOps: what is and why it is important (Ep. 151)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
MLOps: what is and why it is important (Ep. 151)
Data Science at Home,![Building high-growth data businesses with Lillian Pearson (Ep. 149)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Building high-growth data businesses with Lillian Pearson (Ep. 149)
Data Science at Home,![Learning and training in AI times (Ep. 148)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Learning and training in AI times (Ep. 148)
Data Science at Home,![Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)
Data Science at Home,![Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)
Data Science at Home,![Pandas vs Rust (Ep. 144)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Pandas vs Rust (Ep. 144)
Data Science at Home,![Concurrent is not parallel - Part 2 (Ep. 143)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Concurrent is not parallel - Part 2 (Ep. 143)
Data Science at Home,![Concurrent is not parallel - Part 1 (Ep. 142)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Concurrent is not parallel - Part 1 (Ep. 142)
Data Science at Home,![Backend technologies for machine learning in production (Ep. 141)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Backend technologies for machine learning in production (Ep. 141)
Data Science at Home,![You are the product (Ep. 140)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
You are the product (Ep. 140)
Data Science at Home,![How to reinvent banking and finance with data and technology (Ep. 139)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
How to reinvent banking and finance with data and technology (Ep. 139)
Data Science at Home,![What's up with WhatsApp? (Ep. 138)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
What's up with WhatsApp? (Ep. 138)
Data Science at Home,![Is Rust flexible enough for a flexible data model? (Ep. 137)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Is Rust flexible enough for a flexible data model? (Ep. 137)
Data Science at Home,![Is Apple M1 good for machine learning? (Ep.136)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Is Apple M1 good for machine learning? (Ep.136)
Data Science at Home,![Rust and deep learning with Daniel McKenna (Ep. 135)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Rust and deep learning with Daniel McKenna (Ep. 135)
Data Science at Home,![Scaling machine learning with clusters and GPUs (Ep. 134)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Scaling machine learning with clusters and GPUs (Ep. 134)
Data Science at Home,![What is data ethics? (Ep. 133)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
What is data ethics? (Ep. 133)
Data Science at Home,![A Standard for the Python Array API (Ep. 132)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
A Standard for the Python Array API (Ep. 132)
Data Science at Home,![What happens to data transfer after Schrems II? (Ep. 131)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
What happens to data transfer after Schrems II? (Ep. 131)
Data Science at Home,![Test-First Machine Learning [RB] (Ep. 130)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Test-First Machine Learning [RB] (Ep. 130)
Data Science at Home,![Similarity in Machine Learning (Ep. 129)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)
Similarity in Machine Learning (Ep. 129)
Data Science at Home,![Distill data and train faster, better, cheaper (Ep. 128)](https://media.dev.to/cdn-cgi/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F466%2Fe96cebff-f08e-4e49-b667-40a9f7198809.png)