Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
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AI/ML Projects, Methodologies, Best Practices, E29
MP3•Episode home
Manage episode 303969540 series 2624979
Content provided by Alexandra Petrus. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Petrus or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
- 12:50 - Is the Turing test still relevant?
- 21:30 - Why it's important to use methodologies in AI projects and what are some best practices out there fit for AI projects.
- 28:00 - Falsehoods of methodologies in AI projects.
- 35:00 - Is Agile a good framework for AI/ML projects/products?
- 40:10 - How can projects get derailed or fail if you don't have a plan in place.
- 44:20 - The best compliment one can get after building an AI project or system.
- 47:25 - Is DL the end of AI?
References:
33 episodes
MP3•Episode home
Manage episode 303969540 series 2624979
Content provided by Alexandra Petrus. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Petrus or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
- 12:50 - Is the Turing test still relevant?
- 21:30 - Why it's important to use methodologies in AI projects and what are some best practices out there fit for AI projects.
- 28:00 - Falsehoods of methodologies in AI projects.
- 35:00 - Is Agile a good framework for AI/ML projects/products?
- 40:10 - How can projects get derailed or fail if you don't have a plan in place.
- 44:20 - The best compliment one can get after building an AI project or system.
- 47:25 - Is DL the end of AI?
References:
33 episodes
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