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📚 “Science is about knowing; engineering is about doing.” – Henry Petroski

Jul 16, 2023

Hey friends & nerds! 👋

Welcome to a new episode of the Sunday Science Newsletter where we explore science, systems & tools that help us become smarter scientists.

Work with me 🤝

💦 Machine Learning for Fluid Mechanics

💨 Aerodynamics: Scoring decimal points by Audi AG

Even the tiniest improvements in aerodynamics add to an electric car’s range. Dr. Moni Islam, Head of Aerodynamics/Aeroacoustics Development at Audi, talks about striving for perfection in the Audi e-tron models.

Read more here

🎙️ 9 Distance Measures in Data Science

Understanding the field of distance measures is more important than you might realize. Take k-NN for example, a technique often used for supervised learning. As a default, it often uses euclidean distance. By itself, a great distance measure.

Knowing when to use which distance measure can help you go from a poor classifier to an accurate model.

However, what if your data is highly dimensional? Would euclidean distance then still work? Or what if your data consists of geospatial information? Perhaps haversine distance would then be a better alternative!

🚀 Deep Learning Of The Spanwise-Averaged Navier–Stokes Equations

A method to reduce the 3-D Navier–Stokes equations to a 2-D system. 3-D effects are included with closure terms predicted by a machine learning model.

Paper Access

💻 Tool of the Week – Flexcompute

10-100x Faster & 100-1000x Larger - Electromagnetic Simulation

FDTD for Electromagnetic Simulation

📚 Book of the Week

Deep Learning for Vision Systems

Get Your Book

Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life. With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you’ll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision!

📕 Use the code "podengineered20" to get a 40% discount!