John Healy
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Drew Schulkeonce
- Leland McInnesonce
- Martin Backstromonce
all 4 in the filters
who talks about the same things
- Leland McInnes4 talks
- Ted Dunning16 talks
- Abhiram Ravikumar2 talks
- Amr Awadallah8 talks
- Eswaramoorthy2 talks
- João Martins6 talks
| title | conference | date |
|---|---|---|
| MAP All the Things | PyData Los Angeles 2019 | 2019-12-03 |
Embeddings are concrete: numeric vectors plus a distance, built here with UMAP and demonstrated end-to-end on 1.5M BeerAdvocate reviews collapsed to ~104 beer… | ||
| HDBSCAN, Fast Density Based Clustering, the How and the Why | PyData NYC 2018 | 2018-10-11 |
HDBSCAN becomes a practical tool by converting the naive O(n^2) approach into an O(n log n) implementation using dual‑tree Borůvka and spatial indexing… | ||
| Keynote Panel: Intersection of Enterprise & Carriers...How will 5G Play Out? | Open Networking Summit 2017 | 2017-04-03 |
Panel argues 5G drives a shift to massively distributed compute and requires virtualization, NFV/SDN and heavy automation to be viable; operators can convert… | ||
| Clustering: A Guide for the Perplexed | PyData DC 2016 | 2016-10-07 |
Clustering recommendation: use HDBSCAN rather than kmeans because it outputs noise/outliers, finds variable-density clusters, and avoids forcing every point… | ||
| nothing matches | ||