Hey friends!
Welcome to ./engineered_mind.sh – the newsletter if you want to engineer your mind & your life. Subscribe for free and join more than 500 people for exclusive content coming every Sunday!
Free AI Courses
Gain the skills you need to do independent data science projects.
The courses are free, and you can now earn certificates.
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.
Fish-Like Three-Dimensional Swimming With An Autonomous, Multi-Fin, And Biomimetic Robot
Carbon - Share Beautiful Images of Your Source Code
Create and share beautiful images of your source code. Start typing or drop a file into the text area to get started.
Upcoming Podcasts
Friday Episode
Coming Friday at 6pm CET, I will release a new podcast with Reuven Lerner who is a full-time Python trainer. Reuven created one of the first 100 Web sites in the world just after graduating from MIT’s computer science department. He opened Lerner Consulting in 1995, and has been offering training services since 1996.
Topic: Python Workouts 💻
📚 His book: http://bit.ly/30jgp8j
Early Access: https://patreon.com/theengiineer
Went Live This Week
This week, I released a new podcast with Kim Crawley and Phillip Wylie on Ethical Hacking & Penetration Testing.
Visualize Ideas
"Know that your work speaks only to those on the same wavelength as you."
– Jean Cocteau
Follow me on Instagram to see more of my designs! You can order my canvases my sending me a DM on my socials.
Book of the Week
TinyML: Machine Learning with TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size & small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.
Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.
My interview with Daniel:
Favourite Animation
Meme of the Week
Just Thesis Things.
Closing Remarks
If you have any wishes for video topics, you can submit them in this form. Apart from that you can always reach out to me via Twitter or Instagram or LinkedIn, so let’s connect!
Join the Discord server where you can connect with like-minded people.
For any business related issues or collaborations, feel free to write me an email to engineeredmindbusiness@gmail.com!
And of course, if you want to support the podcast, newsletter & YouTube channel and want have access to special perks, feel free to have a look at my Patreon profile!
See you next week and in the meantime, make sure to keep engineering your mind!
Jousef