Hey friends!
Welcome to the second episode of the ./engineered_mind.sh newsletter! Before we jump into the most interesting things I want to share with you this week, feel free to subscribe to my second channel where I will upload random material, podcast clips, simulations and other random stuff in the future!
And of course, feel free to subscribe to the newsletter!
Upcoming Podcast
I interviewed the chief data scientist and #1 bestselling author Jon Krohn back in April. We talked about issues like:
The company untapt and how AI powered recruiting works
How much did Jon’s background in neuroscience help him in AI
Where to get started when learning ML?
Tips for becoming a deep learning specialist?
What is he most excited about in terms of AI?
How did he come up with the idea of writing a book?
Upcoming video
As requested from plenty of my contacts on LinkedIn, I am working on a video for top 10 tips on your resume. More information in the next newsletter :)
Books
This week, I posted my second book from the "Book Club" series. It is called "The Almanack of Naval Ravikant" written by Eric Jorgenson who I also interviewed a few days ago for my podcast! 📖⠀
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Naval Ravikant is an entrepreneur, philosopher, and investor who has captivated the world with his principles for building wealth and creating long-term happiness. "The Almanack of Naval Ravikant" is a collection of Naval's wisdom and experience from the last ten years, shared as a curation of his most insightful interviews and poignant reflections. This isn't a how-to-book, or a step-by-step gimmick. Instead, through Naval's own words, you will learn how to walk you own unique path toward a happier, wealthier life.
I would like to know what you are currently reading! Either DM me on Instagram, Twitter or leave a comment under this newsletter.
Engineering
Smoothed Particle Hydrodynamics
Smoothed Particle Hydrodynamics (SPH) is a technique for approximating the continuum dynamics of fluids through the use of particles, which may also be viewed as interpolation points. SPH was originally developed in astrophysics. Since then it has found widespread use also in other areas of science and engineering.
The main idea of SPH is to treat hydrodynamics in a mesh-free fashion as Jens & Markus explained here, in terms of a set of sampling particles and discretize the fluid rather than the domain itself.
Electronics Cooling
I will be holding a webinar on December, 17th 2020 at 5:00 pm CET about "An Introduction to Electronics Cooling".
Fluid flow (CFD) simulation and thermal analysis are vital tools in addressing thermal management and cooling problems, allowing engineers to accurately predict the temperature and heat flux distribution in and around an electronic system, and thus enabling smarter design decisions.
No prior knowledge or software is required to join this webinar. You can get access to SimScale with all the required simulation features by creating a Community account on SimScale’s website.
Podcast
This week, I uploaded two podcasts!
A very exciting podcast with a Reinforcement Learning legend, namely Andrew G. Barto!
Andy is a former computer scientist and professor emeritus and known for his research on learning in machines and animals. He worked on developing learning algorithms that are useful for engineering applications but that also make contact with learning as studied by psychologists and neuroscientists.
I also interviewed the two founders from FIFTY2 Technology, Jens Cornelis & Markus Ihmsen on my show.
We spoke about the very interesting topic of Smoothed Particle Hydrodynamics (SPH) and their great tool PreonLab - make sure to check it out!
I am currently discussing with them if we can do few SPH tutorials on my channel, would you be interested to see what the tool is capable of?
Visualize Ideas
My personal favourite visualization for this week is the quote:
"Those who spend their time looking for the faults in others usually make no time to correct their own." – Art Jonak
If you would like to see more of these visualized ideas, make sure to follow me on this Instagram profile! :)
Artificial Intelligence - Courses
Coursera recently shared some of their most popular courses!
TensorFlow: Advanced Techniques Specialization
Expand your skill set and master TensorFlow. Customize your machine learning models through four hands-on courses!
DeepLearning.AI TensorFlow Developer Professional Certificate
In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.
Generative Adversarial Networks (GANs) Specialization
The specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.
AI for Medicine Specialization
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
Natural Language Processing Specialization
Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.
Favourite animation
In this week, I want to share another great animation made by Dave!
Favourite Places
App of the Week (Mac)
Things
I am using the app "Things" for three weeks now on my iPhone, Macbook as well as iPad. By far the best to-do app I ever used!
Minimalistic & top-notch!
Meme of the Week
Hilarious! 😄
Elon Musk passed Bill Gates to become the world’s second-richest person.
The 49-year-old entrepreneur’s net worth soared $7.2 billion to $127.9 billion, driven by yet another surge in Tesla’s share price. Musk has added $100.3 billion to his net worth this year, the most of anyone on the Bloomberg Billionaires Index, a ranking of the world’s 500 richest people. In January he ranked 35th.⠀
His advance up the wealth ranks has been driven largely by Tesla, whose market value is approaching $500 billion. About three-quarters of his net worth is comprised of Tesla shares, which are valued more than four times as much as his stake in Space Exploration Technologies Corp., or SpaceX.⠀
Musk’s milestone marks only the second time in the index’s eight-year history that Microsoft Corp. co-founder Gates has ranked lower than number two. He held the top spot for years before being bumped by Amazon.com Inc. founder Jeff Bezos in 2017. Gates’s net worth of $127.7 billion would be much higher had he not donated so prodigiously to charity over the years. He has given more than $27 billion to his namesake foundation since 2006.⠀
Source: Bloomberg Businessweek
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!
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 in general, 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