Dapper Data
Podcast készítő Dapper Data

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