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The Navier-Stokes Equations
The equations are a set of coupled differential equations and could, in theory, be solved for a given flow problem by using methods from calculus. But, in practice, these equations are too difficult to solve analytically. In the past, engineers made further approximations and simplifications to the equation set until they had a group of equations that they could solve. High speed computers have been used to solve approximations to the equations using a variety of techniques like finite difference, finite volume, finite element, and spectral methods. This area of study is called Computational Fluid Dynamics or CFD.
Aerodynamics: Scoring decimal points
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.
Image courtesy: Audi AG
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.
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!
Knowing when to use which distance measure can help you go from a poor classifier to an accurate model.
Comprehensive Python Cheatsheet
A great cheatsheet I recently found which covers the fundamentals of the language.
Upcoming Podcasts
Friday Episode
This Friday at 6pm CET, I will release a new podcast Kim Crawley and Phillip Wylie. Kim is dedicated to researching and writing about a plethora of cybersecurity issues. Some of the companies Kim has worked for over the years include Sophos, AT&T Cybersecurity, BlackBerry Cylance, Tripwire, and Venafi. Phillip has a passion for mentoring and education. His passion motivated him to start teaching and founding The Pwn School Project. The Pwn School Project is a monthly educational meetup focusing on ethical hacking.
Topic: Ethical Hacking & Penetration Testing
Early Access: https://patreon.com/theengiineer
Went Live This Week
This week, I released a new podcast with Chris Rackauckas who talked about Physics-Informed Neural Networks (PINNs). Chris Rackauckas is an Applied Mathematics Instructor at MIT, a Senior Research Analyst in the University of Maryland School of Pharmacy, and the Director of Scientific Research at Pumas-AI. He is the lead developer of the SciML open source scientific machine learning organization which develops widely used software for scientific modeling and inference. Check out the podcast, definitely worth watching!
Visualize Ideas
"It is during our darkest moments that we must focus to see the light."
– Aristotle Onassis
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Book of the Week
Why We Sleep: The New Science of Sleep and Dreams [Matthew Walker]
Sleep is one of the most important aspects of our life, health and longevity and yet it is increasingly neglected in twenty-first-century society, with devastating consequences: every major disease in the developed world - Alzheimer's, cancer, obesity, diabetes - has very strong causal links to deficient sleep.
In this book, the first of its kind written by a scientific expert, Professor Matthew Walker explores twenty years of cutting-edge research to solve the mystery of why sleep matters. Looking at creatures from across the animal kingdom as well as major human studies, Why We Sleep delves into everything from what really happens during REM sleep to how caffeine and alcohol affect sleep and why our sleep patterns change across a lifetime, transforming our appreciation of the extraordinary phenomenon that safeguards our existence.
Favourite Animation
Meme of the Week
Why Am I Like Dis.
Closing Remarks
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See you next week and in the meantime, make sure to keep engineering your mind!
Jousef