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Follow the journey of a life-long-learner tackling subjects in science, technology and engineering. M

Timeline photos 03/14/2023

Beautiful sunny Madison day, perfect for a day of engineering. Midwest winters are definitely killer if you have S.A.D like me. The sights + sunny summer and falls are worth it though.

Timeline photos 12/08/2022

I'll take "Things Elon Would Rather Die Than Say" for $1,000, Trebek.

Timeline photos 12/06/2022

As a software engineer, you may have heard about , a large language model trained by , and may be concerned about its potential impact on your profession. While it is true that ChatGPT has a vast amount of knowledge about what already exists, it has no intuition on what still doesn't.

In fact, tools like chatGPT and their abilities may actually accelerate the path to success for those who are able to innovate and think outside the box -- this is, for now, still a uniquely human trait. As AI continues to advance, the demand for creative and innovative minds in the field of software engineering will only increase.

So, while ChatGPT may seem intimidating at first, remember that your ability to innovate, create and deliver still sets you apart and will be invaluable in the future of software engineering. Keep pushing the boundaries and never stop learning and growing in your field.

Timeline photos 12/06/2022

As the field of AI and ML continues to grow and evolve, more and more people are becoming interested in getting started in these exciting fields. If you're one of these people, here are some tips and resources to help you get started.

First and foremost, it's important to have a solid foundation in computer science and mathematics. If you're still in school, consider taking classes in subjects such as calculus, linear algebra, and statistics. If you're already out of school, there are many online resources and MOOCs (Massive Open Online Courses) that can help you brush up on these skills.

Once you have a strong foundation in the basics, you should start learning about AI and ML specifically. There are many online courses and tutorials available, but some of the best resources include:

• Coursera's Machine Learning course by Andrew Ng: This is an excellent introduction to the field, taught by one of the foremost experts in the field.

• Stanford's CS221: Artificial Intelligence: Principles and Techniques: This is a more advanced course that covers the principles and algorithms behind AI and ML.

• fast.ai: This is a great resource for those who want to learn about deep learning and its applications in AI and ML.

In addition to these courses, there are also many great books on AI and ML. Some of the best include "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig, "Deep Learning" by Ian Goodfellow, and "Hands-On Machine Learning with Scikit-Learn and TensorFlow" by Aurélien Géron.

Finally, it's important to stay up to date with the latest developments in the field. Attend conferences, join online communities and forums, and follow thought leaders and experts on social media to stay on top of the latest advancements.

It's also worth mentioning that this LinkedIn post was written by chatGPT, a large language model trained by OpenAI. This just goes to show the incredible potential of AI and ML, and the exciting possibilities that the future holds.

12/06/2022

is the epitome of disruptive .

I was absolutely an AI skeptic for a while, thinking it'd be a long time before AI/ML models could write code. Boy did I call that one wrong.

Building A Virtual Machine inside ChatGPT 12/05/2022

This is absolute insanity -- a virtual machine running docker running inside the imagination of ChatGPT. Suddenly the Matrix movies feel very real...

https://smpl.is/oe7y

Building A Virtual Machine inside ChatGPT Unless you have been living under a rock, you have heard of this new ChatGPT assistant made by OpenAI. Did you know, that you can run a whole virtual machine inside of ChatGPT?

12/05/2022

There is no doubt that AI/ML will revolutionize the software engineering workflow. By automating repetitive tasks, it will allow engineers to focus on more creative and innovative work. Early adopters will have a significant advantage over those who wait to adopt AI/ML.

04/19/2021

Phenomenal project demonstrating real-time recognition of handwritten math functions and drawing of their respective graphs by Martijn Folmer

His goal with this computer vision model is to make learning math functions more engaging and accessible using augmented reality. Tools like this have fantastic implications for the way we teach and understand fundamentals in stem education.

Original Credit: Martijn Folmer

Timeline photos 04/14/2021

Hit a wall and can't figure something out? Stop thinking about it, get out of your chair, leave your desk and relax. It'll come to you! If you're on a time crunch, pop a flare and ask a colleague -- even if they're not familiar, the exercise of explaining the problem might lead you to the answer.

Timeline photos 04/14/2021

Finally finished my first HTML/CSS project -- my own page clone! It looks pretty simple and isn't too impressive, but I sure learned a lot! Learned plenty about , and responsive design basics.

Check it out at: https://pos.li/2igr7x

Timeline photos 04/14/2021

Creating these graphics really help me solidify little details as I'm learning & . Working on my copycat this week, I wanted to change the alignment of the div objects. It turns out, when you create a flex items, 'align-content' defaults to 'stretch' to fill in the container equally.

04/13/2021

This TinyML-Powered Artificial Nose project by (Benjamin Cabé) is an awesome example of innovation with ML on the edge. He's even gone ahead and made all of the source files and schematics available to try it out yourself here: https://pos.li/2ifzk8

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