Super Data Science: ML & AI Podcast with Jon Krohn 353: How to Practice Human-Centric Data Science
4 snips
Apr 1, 2020 Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Introduction
00:00 • 3min
How to Measure Success in a Data Science Project
02:31 • 3min
How to Ask the Right Questions to Understand the Business Needs
05:17 • 1min
Designing for Analytics Calm Slash Super Data Science
06:31 • 3min
Designing Innovative Data Products Powered by Data Science and Analytics
10:01 • 5min
How to Charge for a List of Strange Customers
14:35 • 1min
The Importance of Soft Skills in Data Science Projects
16:03 • 3min
How to Build a Machine Learning Model for Your Product
19:25 • 4min
How to Map Your Customer Journey and Service Bladders
23:29 • 6min
How to Validate a Predictive Model
29:04 • 5min
How to Design Effective Machine Learning Solutions
34:25 • 5min
How to Be Better at Design Thinking
39:46 • 4min
The Importance of Compensation in Data Science
43:45 • 3min
How to Be a Successful Designer
47:13 • 4min
How to Sit Down and Listen to People
51:11 • 2min
How Empathy Can Reveal a 60 Percent Accurate Data Science Solution
52:52 • 2min
How to Design Human-Centered Data Products
54:28 • 4min
How to Create a Journey Map for Your Project
58:08 • 2min
How to Use Design Thinking to Improve Your Career
01:00:08 • 4min
The Importance of a Certificate in Data Science and AI
01:04:04 • 4min
Experiencing Data With Briantionil
01:08:02 • 1min
Competing in the Age of AI
01:09:30 • 6min