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Mathematics For Machine Learning - Everything You Need!
Autoencoders & Physics Informed Machine Learning
INTRODUCTORY LECTURES on TURBULENCE - J. M. McDonough
The “Intelligent” Speed Bump - Non-Newtonian Fluids in Practice
For the upcoming podcast I am very happy to welcome Sharon Zhou to my show!
Sharon is an expert in deep generative models such as Generative Adversarial Networks (GANs). She created and teaches the Generative Adversarial Networks (GANs) course at Stanford and on Coursera, with nearly 40K students enrolled in the latter.
📚 Her Coursera courses:
In this podcast, we talked about:
Generative Models 🧠
Women in academia 👩💻
Transitioning from the industry to academia 📚
Pros & Cons of GANs 💻
Misconceptions about Deepfakes 🥸
Working under Andrew Ng
and much more…
Went Live This Week
Book of the Week
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions.
"Rome Wasn’t Built in a Day, But They Were Laying Bricks Every Hour"
– James Clear
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Meme of the Week
It’s the law!
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See you next week and in the meantime, make sure to keep engineering your mind!