SeekamiJeremy Howard @jeremyphoward
Jeremy Howard ranks #30 in the public Seekami AI Influence Top 100 and is classified as Researcher.
Who is Jeremy Howard?
Jeremy Howard co-founded fast.ai. His background includes serving as president and chief scientist at Kaggle, founding Enlitic and later work at Answer.AI. His 2016 fast.ai launch essay documents an effort to make deep learning more accessible through practical education.
Notable work and what to look for
Practical Deep Learning for Coders begins with working projects before expanding into neural networks, language, tabular data and recommendation. This sequence suits programmers seeking practical judgment. Developer products can learn from the progression: provide an understandable first result, then explain the underlying machinery.
Interviews, work and further reading
These reading paths include interviews, first-person writing, institutional biographies and original research. Not every item is an interview.
- fast.ai · Background ↗
Background on educational and entrepreneurial work.
www.fast.ai - Introducing fast.ai · 2016 ↗
A first-person account of the educational project’s beginnings.
www.fast.ai - Practical Deep Learning for Coders ↗
Choose a learning route through course tasks rather than a list of tools.
course.fast.ai
Explore related work
Seekami public ranking snapshot
Public research summary
| Field | Result |
|---|---|
| Rank band | Top 50 |
| Public category | Researcher |
| Useful signal | Research and model direction |
Peer position and reproducible findings
| Comparison | Result |
|---|---|
| Position in the public Top 100 | #30 of 100 |
| Researcher category position | #10 of 34 |
| Composite vs category average | +1.83 points (category average 89.05) |
| Strongest signal this release | Authority · 97.20 |
These findings describe relative position within the published snapshot. They support screening and verification, not inference about private attributes or future campaign results.
How to interpret the scores
The composite combines normalized public signals. Authority describes position in the public AI relationship network; public reach reflects observable scale; recent engagement reflects available activity signals in this release. Scores support relative comparison and are not ratings of truth, personal ability or campaign performance.
Creators nearby in the ranking
Source and limitations
This page uses the formal Seekami ranking snapshot. Profiles and public signals change, and rank is not a third-party endorsement. Read the methodology and data boundaries.