Data Science
Chapters
In this podcast episode, host Danny Miranda interviews author and data scientist Seth Stephens-Davidowitz about the explosion of data in modern life and how it's transforming our understanding of important aspects of being human.
00:00 - 00:47 (00:47)
Summary
In this podcast episode, host Danny Miranda interviews author and data scientist Seth Stephens-Davidowitz about the explosion of data in modern life and how it's transforming our understanding of important aspects of being human.
Episode#241: Seth Stephens-Davidowitz – Use Big Data To Transform Your Life
PodcastThe Danny Miranda Podcast
This episode explores the importance of data in our daily lives.
11:46 - 15:40 (03:53)
Summary
This episode explores the importance of data in our daily lives. It looks at how the human brain processes data, how loss of data can affect our stability, and how data is important for us to function effectively.
Episode965 Sadhguru on Creating Happiness & Ending Personal Suffering
PodcastThe School of Greatness
Organizations that invest in thorough data science training for their employees not only benefit from improved testing frameworks and pursuit of truth, but also gain a positive reputation that lures in recruits who want to advance their careers in data science.
53:01 - 58:56 (05:54)
Summary
Organizations that invest in thorough data science training for their employees not only benefit from improved testing frameworks and pursuit of truth, but also gain a positive reputation that lures in recruits who want to advance their careers in data science.
Episode#100 with Anthony "Pomp" Pompliano - The "Export Framework" to Business Creation
PodcastMy First Million
Intelligence in data science goes beyond coding and algorithms; humans are needed to creatively and ethically analyze data and understand user behavior.
46:45 - 52:24 (05:39)
Summary
Intelligence in data science goes beyond coding and algorithms; humans are needed to creatively and ethically analyze data and understand user behavior. This includes theorizing about data generation and understanding the impact of company policy and incentives on user behavior.
Episode#144 - Martin Schmalz - Artificial Intelligence, Big Data & China
PodcastModern Wisdom
The combination of strong theoretical knowledge in computer science and statistics, paired with practical software engineering skills, is necessary for success in data science.
7:16:49 - 7:22:00 (05:11)
Summary
The combination of strong theoretical knowledge in computer science and statistics, paired with practical software engineering skills, is necessary for success in data science.