Chapter
The Importance of Understanding Computer Science and Statistics for Data Science
7:16:49 - 7:22:00 (05:11)
The combination of strong theoretical knowledge in computer science and statistics, paired with practical software engineering skills, is necessary for success in data science.
Clips
In this podcast episode, the guest speaker talks about fixing the government and moving towards network state, how to fix medicine and increase longevity, and the important discussions of fixing social media and money.
7:16:49 - 7:17:39 (00:50)
Summary
In this podcast episode, the guest speaker talks about fixing the government and moving towards network state, how to fix medicine and increase longevity, and the important discussions of fixing social media and money.
ChapterThe Importance of Understanding Computer Science and Statistics for Data Science
Episode#331 – Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDA
PodcastLex Fridman Podcast
In this podcast episode, the host asks for advice on how to build a fulfilling career and life, and the guest suggests focusing on practical steps and next actions.
7:17:39 - 7:18:45 (01:06)
Summary
In this podcast episode, the host asks for advice on how to build a fulfilling career and life, and the guest suggests focusing on practical steps and next actions. They specifically discuss developing visual skills and breaking down goals into motivation, theory, and practice.
ChapterThe Importance of Understanding Computer Science and Statistics for Data Science
Episode#331 – Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDA
PodcastLex Fridman Podcast
The intersection of computer science and statistics requires a strong foundation in both theory and practice, including understanding concepts such as Big O notation and probability distributions.
7:18:45 - 7:22:00 (03:14)
Summary
The intersection of computer science and statistics requires a strong foundation in both theory and practice, including understanding concepts such as Big O notation and probability distributions.