# Jeremy Howard

> Australian data scientist (b. 1973)

**Wikidata**: [Q6181501](https://www.wikidata.org/wiki/Q6181501)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Jeremy_Howard_(entrepreneur))  
**Source**: https://4ort.xyz/entity/jeremy-howard-q6181501

## Summary
Jeremy Howard is an Australian data scientist, entrepreneur, computer scientist, and pedagogue born in 1973. He is known for his work in machine learning, deep learning, and artificial intelligence, and is affiliated with Fast.ai while also being employed by the University of San Francisco.

## Biography
- Born: November 13, 1973, in London
- Nationality: Australia
- Education: University of Melbourne, Melbourne Grammar School
- Known for: Data science, entrepreneurship, computer science, pedagogy, and work in machine learning, deep learning, and artificial intelligence.
- Employer(s): University of San Francisco
- Field(s): Machine learning, deep learning, artificial intelligence

## Contributions
Jeremy Howard's contributions center on his multifaceted roles as a data scientist, entrepreneur, computer scientist, and pedagogue, particularly within the domains of machine learning, deep learning, and artificial intelligence. As an entrepreneur, he has been involved in the industrial and service sectors, applying computer science principles to real-world challenges. His work as a data scientist involves the study and application of data, a critical component in the development of intelligent systems.

Through his affiliation with Fast.ai, Howard contributes to initiatives focused on these advanced technological fields. His employment at the University of San Francisco further underscores his involvement in higher education, where he likely contributes to teaching and research as a pedagogue. This pedagogical role is significant in disseminating knowledge and fostering new talent in complex areas like artificial intelligence and deep learning. He also participated in the World Economic Forum Annual Meeting in 2014, indicating his engagement with global discussions and advancements in technology. His work broadly supports the development and accessibility of sophisticated computational models and algorithms that enable machines to perform tasks without explicit programming.

## FAQs
### Q: What is Jeremy Howard's nationality and where was he born?
A: Jeremy Howard is an Australian citizen. He was born in London on November 13, 1973.

### Q: What are Jeremy Howard's primary fields of work?
A: Jeremy Howard's primary fields of work include machine learning, deep learning, and artificial intelligence. He is also active as a data scientist, entrepreneur, computer scientist, and pedagogue.

### Q: What organizations is Jeremy Howard affiliated with or employed by?
A: Jeremy Howard is affiliated with Fast.ai and is employed by the University of San Francisco. He was also associated with Strategic Data Science.

## Why They Matter
Jeremy Howard matters due to his significant role in advancing and disseminating knowledge in critical technological fields such as machine learning, deep learning, and artificial intelligence. As a data scientist and computer scientist, he contributes to the foundational understanding and practical application of these complex systems. His entrepreneurial endeavors likely drive innovation and the real-world implementation of AI solutions across various industries.

Crucially, his role as a pedagogue and his affiliation with Fast.ai suggest a commitment to making these advanced technologies more accessible and understandable to a wider audience. This focus on education and accessibility is vital for democratizing AI, enabling more individuals to learn and contribute to the field, and fostering a broader understanding of its potential. His participation in events like the World Economic Forum Annual Meeting also highlights his influence in shaping discussions around the future of technology. Without individuals like Howard, the pace of innovation and the spread of knowledge in these rapidly evolving fields would likely be slower, impacting technological progress and societal adaptation.

## Notable For
*   His roles as a data scientist, entrepreneur, computer scientist, and pedagogue.
*   His expertise and work in machine learning, deep learning, and artificial intelligence.
*   Affiliation with Fast.ai, an organization involved in artificial intelligence.
*   Employment as faculty at the University of San Francisco.
*   Participation in the World Economic Forum Annual Meeting in 2014.

## Body

### Personal Details
*   **Name:** Jeremy Howard
*   **Given Name:** Jeremy
*   **Family Name:** Howard
*   **Sex or Gender:** Male
*   **Birth Date:** November 13, 1973
*   **Birth Place:** London
*   **Citizenship:** Australia
*   **Residence:** San Francisco
*   **Languages Spoken, Written, or Signed:** English

### Education
*   **Educated At:**
    *   University of Melbourne
    *   Melbourne Grammar School

### Professional Life
*   **Occupations:**
    *   Data scientist
    *   Entrepreneur
    *   Computer scientist
    *   Pedagogue
*   **Fields of Work:**
    *   Machine learning
    *   Deep learning
    *   Artificial intelligence
*   **Employer:** University of San Francisco
*   **Affiliations:**
    *   Fast.ai
    *   Strategic Data Science (affiliation string)
*   **Participant In:** World Economic Forum Annual Meeting 2014

### Online Presence
*   **Website:** https://jeremy.fast.ai/
*   **Twitter:** @jeremyphoward (163,787 followers as of 2023-02-03)
*   **Mastodon Address:** jh@sigmoid.social (4,868 followers as of 2024-04-11)
*   **YouTube Channel ID:** UCX7Y2qWriXpqocG97SFW2OQ (106,000 followers as of 2024-01-16)
*   **LinkedIn Personal Profile ID:** howardjeremy
*   **Hacker News Username:** jph00

### Identifiers
*   **VIAF ID:** 39159939435025251427
*   **IDREF ID:** 249492377
*   **NUKAT ID:** n2020219002
*   **NL CR Aut ID:** ntk20211100541
*   **TED Speaker ID:** jeremy_howard
*   **Yale LUX ID:** person/a3fd94db-3a7e-4b94-a804-fc66f41eb7d
*   **Open Library ID:** OL10820982A
*   **NDL Authority ID:** 031492066
*   **Cinii Research ID:** 1140005646342145690
*   **Goodreads Author ID:** 15455224
*   **NACIS Cat Author ID:** DA19631335
*   **The Conversation Author ID:** 1075321
*   **Canadiana Name Authority ID:** ncf13732923
*   **Library of Congress Authority ID:** no2020103056
*   **National Library of Israel J9U ID:** 987008877329005171
*   **National Library of Poland MMS ID:** 9811722290505606
*   **Freebase ID:** /m/0hr2mwc
*   **WorldCat Entities ID:** E39PBJrKY6df9b7BVMkcYHPfbd

### General Information
*   **Instance Of:** Human
*   **Sitelink Count:** 2
*   **Wikipedia Title:** Jeremy Howard (entrepreneur)
*   **Wikipedia Languages:** arz, en
*   **Image:** https://commons.wikimedia.org/wiki/Special:FilePath/Jeremy_Howard.jpg (as of 2013-06-13)

```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jeremy Howard",
  "jobTitle": "Data Scientist",
  "worksFor": {
    "@type": "Organization",
    "name": "University of San Francisco"
  },
  "nationality": {
    "@type": "Country",
    "name": "Australia"
  },
  "birthDate": "1973-11-13",
  "birthPlace": "London",
  "alumniOf": [
    {"@type": "EducationalOrganization", "name": "University of Melbourne"},
    {"@type": "EducationalOrganization", "name": "Melbourne Grammar School"}
  ],
  "knowsAbout": ["Machine Learning", "Deep Learning", "Artificial Intelligence", "Computer Science", "Data Science"],
  "sameAs": [
    "https://en.wikipedia.org/wiki/Jeremy_Howard_(entrepreneur)",
    "https://twitter.com/jeremyphoward",
    "https://jeremy.fast.ai/",
    "https://www.linkedin.com/in/howardjeremy",
    "https://www.wikidata.org/wiki/Q16209210"
  ],
  "description": "Australian data scientist, entrepreneur, computer scientist, and pedagogue known for his work in machine learning, deep learning, and artificial intelligence."
}

## References

1. Davos 2014 Participant List
2. Czech National Authority Database
3. [Source](https://www.usfca.edu/faculty/jeremy-howard)
4. Virtual International Authority File
5. CiNii Research
6. [Source](https://twitter.com/jeremyphoward)
7. YouTube API