Kip Twitchell and Matt Adams engaged in a months-long deep-dive on data science. Matt had some background in technology and education in accounting, and wanted to understand much more about data science. The conversations started in about March 2021 and concluded in September. Discussions went on multiple times each week.
The points that can be taken from these discussions include:
- How to discipline oneself for self study
- Self-education resources in data science, including Datacamp.
- A sampling of relevant technologies
- What are the edges of data science, like AI, computer and network sciences, and finding focus
- How efficiencies matter in going deep into large data sets
- Discovering the unexpected in data.
- Matt’s personal project on creating a digital version of an Enigma machine
- Seeking accountability, training courses their limits, and the boundaries of innovation
These are episodes 257 to 263 of Conversations of Kip, the best financial system vlog there is.
An introduction to Matt and the course of study.
Self Study, Accountability and Structure
Find Your Scope, Be a Generalist
Data Science and Efficient Code
Unexpected Data and Data Science
The Enigma Project
Conclusion from Self Study Project
All episodes in one video
