Dapper Data
Podcast tekijän mukaan Dapper Data
Kategoriat:
97 Jaksot
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Let the User's Voice Guide you - Episode #57 w/ Matt Young
Julkaistiin: 8.5.2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Julkaistiin: 29.4.2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Julkaistiin: 13.4.2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Julkaistiin: 23.3.2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Julkaistiin: 17.3.2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Julkaistiin: 21.2.2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Julkaistiin: 27.1.2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Julkaistiin: 6.1.2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Julkaistiin: 2.1.2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Julkaistiin: 3.12.2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Julkaistiin: 26.11.2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Julkaistiin: 19.11.2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Julkaistiin: 15.11.2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Julkaistiin: 5.11.2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Julkaistiin: 5.11.2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Julkaistiin: 29.9.2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Julkaistiin: 13.7.2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Julkaistiin: 7.7.2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Julkaistiin: 23.6.2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Julkaistiin: 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.
