Dapper Data
Un podcast de Dapper Data
97 Épisodes
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Let the User's Voice Guide you - Episode #57 w/ Matt Young
Publié: 08/05/2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Publié: 29/04/2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Publié: 13/04/2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Publié: 23/03/2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Publié: 17/03/2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Publié: 21/02/2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Publié: 27/01/2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Publié: 06/01/2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Publié: 02/01/2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Publié: 03/12/2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Publié: 26/11/2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Publié: 19/11/2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Publié: 15/11/2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Publié: 05/11/2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Publié: 05/11/2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Publié: 29/09/2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Publié: 13/07/2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Publié: 07/07/2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Publié: 23/06/2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Publié: 13/05/2021
This podcast provides knowledge sharing for data-driven listeners interested in understanding how data impacts the world in many ways . There are so many aspects to data (i.e. programming, statistics, machine learning, artificial intelligence, data visualizations, and more), but there is also the everyday data side (i.e. social media, money, sex, love, diseases, sports and more). I am touching on each and every one of them in a Dapper kind of way.