Low code, no code, accelerated code, & failing code

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!

Join the discussion

Changelog++ members get a bonus 3 minutes at the end of this episode and zero ads. Join today!

Sponsors:

• Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
• The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com.
• Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
• Linode – Get $100 in free credit to get started on Linode – Linode is our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit.

Featuring:

• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Follow up content from Rajiv Shah:
  • Running code and failing models
  • Rajiv’s previous episode
• Lambda Lab’s GPU benchmarks
• Machine Learning in Microsoft Excel
• Deep Learning at the Speed of Light
• MLCommons and MLCube:
  • Previous episode about MLCommons
  • MLCube project
• Learning Resources:
  • Yann LeCun’s Deep Learning Course Is Now Free & Fully Online
  • TensorFlow Everywhere

Something missing or broken? PRs welcome!