Chapter
The Future of Machine Learning Systems and Software Development
11:03 - 23:39 (12:36)
The divide between machine learning systems and classical software systems is that the values of the input have to be considered with the function to determine the correctness of the system. The future of machine learning systems lies in better encoding the semantics of the world for better live data systems.
Clips
Python's popularity in scientific computing has grown thanks to people in various domains using it to solve their own problems; however, its increased popularity has led to greater complexity in designing projects.
11:03 - 13:44 (02:41)
Summary
Python's popularity in scientific computing has grown thanks to people in various domains using it to solve their own problems; however, its increased popularity has led to greater complexity in designing projects.
ChapterThe Future of Machine Learning Systems and Software Development
Episode#250 – Peter Wang: Python and the Source Code of Humans, Computers, and Reality
PodcastLex Fridman Podcast
Visual drag and drop programming systems are only useful for simple data flow and transformation.
13:45 - 16:32 (02:47)
Summary
Visual drag and drop programming systems are only useful for simple data flow and transformation. Once the system requires conditional logic and iteration, a visual system no longer provides an advantage over traditional programming.
ChapterThe Future of Machine Learning Systems and Software Development
Episode#250 – Peter Wang: Python and the Source Code of Humans, Computers, and Reality
PodcastLex Fridman Podcast
The complexity of computing requires paying attention to the connection between end-users and the system they are expressing.
16:32 - 21:28 (04:56)
Summary
The complexity of computing requires paying attention to the connection between end-users and the system they are expressing. It's necessary to understand the semantics of the data and parameters of the underlying hardware compute system to build something that increases the system's capability for someone else to interface with.
ChapterThe Future of Machine Learning Systems and Software Development
Episode#250 – Peter Wang: Python and the Source Code of Humans, Computers, and Reality
PodcastLex Fridman Podcast
In the future, the work of machine learning systems will be to better understand and encode the semantics of the world for more accurate interpretation of input values and transform them into desired outputs.
21:29 - 23:39 (02:10)
Summary
In the future, the work of machine learning systems will be to better understand and encode the semantics of the world for more accurate interpretation of input values and transform them into desired outputs.