How Machine Learning is changing the way I see the world.
- Bruna Osako

- Jul 11, 2023
- 3 min read
Updated: Jul 12, 2023

(This post is inspired by Tim Urban, as you can see in the sweet drawing)
This morning, I stepped out to buy groceries, and true to form, my mind wandered far away. At that moment, a thought crossed my mind—how does the "self-checkout" machine effortlessly identify products using just a code? This made me contemplate the remarkable capacity of our brains to unconsciously absorb vast amounts of data. Take, for instance, the subtle details we effortlessly perceive, like the color or volume of an object, the concept of space, and the ability to discern our location, among others. It's fascinating how our brains effortlessly process and store this information without us even being aware of it.
So, here are some facts that I have concluded:
First and foremost, humans possess an exceptional level of uniqueness that sets us apart. It is primarily attributed to our intricate thought processes and the distinctive ways in which we approach and tackle everyday tasks. Our cognitive abilities, emotions, and creativity all contribute to this remarkable individuality.
On the other hand, computers possess a distinct capability that differentiates them from humans: the ability to predict and perform tasks by learning from examples. Through the power of machine learning algorithms, computers can analyze existing examples, extract patterns, and generalize their knowledge to make predictions or carry out specific tasks. This remarkable capacity enables them to accomplish complex computations and assist in various domains, ranging from image recognition to natural language processing.
By now, you may be inclined to perceive me as a weirdo. After all, who goes grocery shopping with such introspective musings? In a typical scenario, a seemingly contented individual would likely occupy their thoughts with plans for the remainder of the day, pending tasks, and other mundane matters. However, I find myself exploring the intricacies of the world around me, delving into the fascinating mysteries that often go unnoticed amidst the hustle and bustle of everyday life. Alright. My intention was to ignite your curiosity and prompt you to delve into the workings of ML.
so HERE is a very complex question...
"how to teach computers how to think"?
Unlike humans, computers lack the ability to learn intuitively. Nevertheless, machine learning algorithms excel at generalizing from available task examples. Here we can take Tesla's autopilot as an illustration. Have you ever thought about how the vehicle manages to discern a human crossing the street or the presence of another car beside it?

I trust that this general diagram has provided you with a concise overview and initial insights into the process of teaching a machine how to think. However, if you would like to learn more I highly encourage you o take these online courses and read these materials:
Applied Machine Learning in Python- by the University of Michigan https://www.coursera.org/learn/python-machine-learning
Crash Course on Python https://www.coursera.org/learn/python-machine-learning
Supervised Machine Learning: Regression and Classification https://www.coursera.org/learn/machine-learning
AI For Everyone. https://www.coursera.org/learn/ai-for-everyone
Read "The Age of AI"
Read "Wait but why -Neuralink and the Brain’s Magical Future" -https://waitbutwhy.com/2017/04/neuralink.html
Let's build GPT: from scratch, in code, spelled out. by Andrej Karpathy https://www.youtube.com/watch?v=kCc8FmEb1nY
ChatGPT Prompt Engineering for Developers https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
DeepMind: The Podcast - Seasons 1 & 2 https://www.youtube.com/playlist?list=PLqYmG7hTraZBiUr6_Qf8YTS2Oqy3OGZEj
Armed with the knowledge acquired from these resources, I hope you can also challenge yourself and change the way you see the world.
Thank you! and I see you soon.





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