Data Conference Databasea Query.Farm index
Speakers

Tommy Jones

Employers on the program

  1. 2020–2021In-Q-Tel2 talks
Events5
Conferences1
Talks5
Years active2019–2024

Appearances by year

201920202021202220232024202520262027
  • Government & Public Sector R Conference (now The Government Data Science & AI Conference)

Talks

DateEventConferenceRoleTitleLinks
Oct 28, 2024Government & Public Sector R Conference 2024Government & Public Sector R Conference (now The Government Data Science & AI Conference)speakerDetecting Automotive Quality & Safety Issues from Consumer Complaints
70% of the cars on the road are between 6 and 14 years old. Most aren't equipped with sensors allowing manufacturers, regulators, and the public to see when a…Show less

70% of the cars on the road are between 6 and 14 years old. Most aren't equipped with sensors allowing manufacturers, regulators, and the public to see when a vehicle platform develops a quality issue, but owners do complain about their cars online. Tommy will tell you about the process of detecting

Video
Nov 30, 2022Government & Public Sector R Conference 2022Government & Public Sector R Conference (now The Government Data Science & AI Conference)speakerNatural Language Statistics with Latent Dirichlet Allocation
Because language is one of the most abundant and information rich data sources that exists, Tommy dreams of a world where we can measure ideas and narratives…Show less

Because language is one of the most abundant and information rich data sources that exists, Tommy dreams of a world where we can measure ideas and narratives with the same level of scientific rigor that we use to measure the economy, effects of medical interventions, and other quantitative phenomena

Video
Dec 8, 2021Government & Public Sector R Conference 2021Government & Public Sector R Conference (now The Government Data Science & AI Conference)speakertidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions
as In-Q-Tel
tidylda implements the Latent Dirichlet Allocation (LDA) topic model in a way that is fast, flexible, and most importantly tidy. Wait. Who needs another LDA…Show less

tidylda implements the Latent Dirichlet Allocation (LDA) topic model in a way that is fast, flexible, and most importantly tidy. Wait. Who needs another LDA implementation though? Tommy will talk us through what makes tidylda so unique and provide examples to stir your imagination on new ways you ca

Video
Dec 2, 2020Government & Public Sector R Conference 2020 (R|Gov)Government & Public Sector R Conference (now The Government Data Science & AI Conference)speakerExploring Diagnostic Test Accuracy with Plotly Dash
as In-Q-Tel
Epidemics — as we have all come to see first-hand — are full of uncertainty. Diagnostic test results are no exception. Some tests are more accurate than others…Show less

Epidemics — as we have all come to see first-hand — are full of uncertainty. Diagnostic test results are no exception. Some tests are more accurate than others due to specific characteristics of the test, and in some cases it may be important to consider the trade-offs of various tests before deploy

Video
2019DC R Conference 2019Government & Public Sector R Conference (now The Government Data Science & AI Conference)speakerOptimizing Topic Models for Classification Tasks
Topic models are hard to evaluate as the variables they measure are latent, i.e. unobserved. Most topic model evaluation has focused on coherence metrics to…Show less

Topic models are hard to evaluate as the variables they measure are latent, i.e. unobserved. Most topic model evaluation has focused on coherence metrics to mimic human judgment or preference. Yet topic models are often not used merely for the pleasure of the human eye. Instead, topic models are oft

Video

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Marck Vaisman5—2024
Alex Gold4—2024
Refael Lav4—2024
Jared Lander4—2022
Benjy Braun3—2024
David Meza3—2024
Tyler Morgan-Wall3—2024
Abhijit Dasgupta3—2021
Selen Stromgren2—2024
William E. J. Doane2—2024
Asmae Toumi2—2022
Danya Murali2—2022
David Shor2—2022
Maxine Drake2—2022
Brook Frye2—2021

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.