Dapper Data
A podcast by Dapper Data
Categorie:
97 Episodio
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Let the User's Voice Guide you - Episode #57 w/ Matt Young
Pubblicato: 08/05/2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Pubblicato: 29/04/2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Pubblicato: 13/04/2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Pubblicato: 23/03/2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Pubblicato: 17/03/2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Pubblicato: 21/02/2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Pubblicato: 27/01/2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Pubblicato: 06/01/2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Pubblicato: 02/01/2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Pubblicato: 03/12/2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Pubblicato: 26/11/2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Pubblicato: 19/11/2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Pubblicato: 15/11/2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Pubblicato: 05/11/2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Pubblicato: 05/11/2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Pubblicato: 29/09/2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Pubblicato: 13/07/2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Pubblicato: 07/07/2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Pubblicato: 23/06/2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Pubblicato: 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.