Sa mga nahihirapan po sa SP901: Data Science and Machine Learning Using Python check nyo po itong libro na ito, andyan po ung mga sinasabi ni teacher.. medyo verbatim
https://www.oreilly.com/.../introduction.../9781449369880/
Introduction to Machine Learning with Python
by Andreas C. Müller, Sarah Guido
Imagine you're teaching a computer to do cool things.. like categorising ;) So what is the difference of Supervised and Unsupervised Machine Learning?
Supervised Machine Learning:
Think of this like a teacher guiding a student. In supervised learning, we give the computer a bunch of data and also tell it what the correct answers should be. It's like having a teacher's answer key for a test. The computer then learns from this data and uses it to make predictions or decisions.
For example, if we want the computer to recognize cats and dogs in pictures, we'd show it lots of images of cats and dogs and tell it which is which. The computer learns to spot the differences, like pointy ears for dogs and whiskers for cats. This way, it can make predictions when it sees new pictures, like telling us if it's a cat or a dog.
Unsupervised Machine Learning:
Now, unsupervised learning is a bit different. Here, it's like giving the computer a bunch of stuff and letting it figure things out on its own. No teacher's answer key this time. The computer's job is to find patterns, group similar things together, or discover hidden structures in the data.
For example, imagine we have a bunch of customer data from an online store. In unsupervised learning, the computer might notice that some customers tend to buy similar items, and it groups those customers together. This can help the store recommend products to customers based on what others with similar tastes bought.
So for the Week 3, are you ready for Unsupervised Learning? Wink-wink!
Again, I posted my Jupyter Notebook for a reason. But if you really need my notebook, you can send me a message on our Facebook page :)
Did you know that SP901 was released before SP202, introducing me to the world of Python programming? My first experience with this computer language left me feeling like a fish out of water, struggling to communicate with the machine, and the machine with me. (Ganti-ganti lang! Haha)
The journey into Python was demanding, somewhat painful, and at times, I found myself questioning why I was putting myself through it. But without further ado, let me share with you the snapshots of the weekly assignments for this course.
I made it in jpg form for you to type in your own Jupyter Notebook, by taking the time to type out our code in our Jupyter Notebook, we're not just copying and pasting; we're building a deeper knowledge of Python and the exciting world of supervised machine learning.
