Dapper Data
Un pódcast de Dapper Data
Categorías:
97 Episodo
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Let the User's Voice Guide you - Episode #57 w/ Matt Young
Publicado: 8/5/2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Publicado: 29/4/2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Publicado: 13/4/2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Publicado: 23/3/2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Publicado: 17/3/2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Publicado: 21/2/2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Publicado: 27/1/2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Publicado: 6/1/2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Publicado: 2/1/2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Publicado: 3/12/2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Publicado: 26/11/2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Publicado: 19/11/2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Publicado: 15/11/2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Publicado: 5/11/2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Publicado: 5/11/2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Publicado: 29/9/2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Publicado: 13/7/2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Publicado: 7/7/2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Publicado: 23/6/2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Publicado: 13/5/2021
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.