Dapper Data
A podcast by Dapper Data
Categories:
97 Episoade
-
Let the User's Voice Guide you - Episode #57 w/ Matt Young
Publicat: 08.05.2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Publicat: 29.04.2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Publicat: 13.04.2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Publicat: 23.03.2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Publicat: 17.03.2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Publicat: 21.02.2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Publicat: 27.01.2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Publicat: 06.01.2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Publicat: 02.01.2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Publicat: 03.12.2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Publicat: 26.11.2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Publicat: 19.11.2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Publicat: 15.11.2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Publicat: 05.11.2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Publicat: 05.11.2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Publicat: 29.09.2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Publicat: 13.07.2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Publicat: 07.07.2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Publicat: 23.06.2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Publicat: 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.