Dapper Data
En podcast af Dapper Data
Kategorier:
97 Episoder
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Machine Learning in the Film Industry - Episode #97 w/ Ruslan Khamidullin
Udgivet: 26.6.2023 -
AI in the Digital Marketing Space and Nerding Out - Episode #96 w/ David Forman
Udgivet: 22.6.2023 -
Google Analytics 4 and Passion of Data - Episode #95 w/ Alex Oliveira aka Dadpreneur
Udgivet: 21.6.2023 -
Digital Marketing and Data Drive Decision Making - Episode #94 w/ Hernan Vazquez
Udgivet: 21.6.2023 -
Start Your Career in Data Analytics - Episode #93 w/Kalpesh - Part 2
Udgivet: 14.4.2023 -
Start Your Career in Data Analytics - Episode #92 w/Kalpesh - Part 1
Udgivet: 14.4.2023 -
AI Automation in the Office - Episode #91 w/Ozan Bilgen
Udgivet: 23.3.2023 -
Data Sharing and Data Bias - Episode #90 w/Pierre Brunelle
Udgivet: 23.3.2023 -
AI Impact on Data Resources - Episode #89 w/William Mcknight
Udgivet: 20.3.2023 -
The Role of Data Analytics in Identity Management - Episode #88 w/Kevin Dominik Korte
Udgivet: 19.3.2023 -
The Financial Industry and Data - Episode #87 w/Mark Willis Part 2
Udgivet: 18.3.2023 -
The Financial Industry and Data - Episode #86 w/Mark Willis Part 1
Udgivet: 18.3.2023 -
System Metadata Used for Tamper Proof Videos - Episode #85 w/Peter Sisson
Udgivet: 15.3.2023 -
Data, 3D Printing and Gaming- Episode #84 w/Beau Button
Udgivet: 22.2.2023 -
Head of Data Speaks on Diversity and Inclusiveness in Data - Episode #83 w/David Sepulveda
Udgivet: 22.2.2023 -
Machine Learning Engineer or Data Scientist - Episode #82 w/Ananda Soundhararajan
Udgivet: 1.2.2023 -
Scale your Entrepreneurial BIZ with Data - Episode #81 w/Nicky Billou
Udgivet: 1.2.2023 -
Boost Sales with Data - Episode #80w/Matt Ranta
Udgivet: 1.2.2023 -
Scientific Research and Misinformation - Episode #79 w/Eric Olson
Udgivet: 1.2.2023 -
The Future of Data Warehousing!! - Episode #78 w/Aron Clymer
Udgivet: 13.1.2023
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.