Machine Learning Note, Study notes of Machine Learning

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lf Machine Learning is all about teaching Computers to learn from data — just like We learn from expeiicnec: Akarsh Vyas What is Machine Learning? Machine Learning Have you ever wondered how Netflix knows what you want to watch next? Or how Google Translate works like magic? The secret behind it all... is Machine Learning. @ Machine Learning Instead of programming every step, we give machines lots of data and let them figure out patterns on their own. Machine Learning YouTube Recommendations — Learns from your watch history Spam Detection in Gmail — Learns patterns in spam emails Voice Assistants (Siri, Alexa) — Learn how you speak Self-driving Cars — Learn to identify stop signs, pedestrians, and roads Face Unlock on Phones — Learns to recognize your face Machine Learning Today, Machine Learning powers everything from the apps on your phone to the systems behind hospitals, banks, and even space research. Learning ML means you're learning the language of the future. @ Machine Learning Now that you know what Machine Learning is, let’s dive into the difference between Al ,ML, DL. Al vs ML vs DL Al - Artificial Intelligence is the big umbrella — it’s the science of making machines smart, just like humans. Al vs ML vs DL Al - examples -Playing chess like a human (Al) -Talking to Alexa (Al) -Driving a car on its own (Al) Al = Any system that mimics human intelligence @ Al vs ML vs DL DL - Deep Learning is a subset of Machine Learning — it uses something called neural networks, which are inspired by the human brain. Al vs ML vs DL DL - examples e Face recognition on phones ¢ ChatGPT @ e Self-driving car vision e DL = ML using neural networks for big, complex data (like images or speech) Supervised Learning Supervised Learning is like a student being taught by a teacher. We give the machine input and the correct answer — and it learns to predict Supervised Learning Machine learning is a game of prediction we give the machine data and it predicts lets see an example with data.