Machine Learning Blogs

Well hello there! Thanks for staying with me in this journey and reading the blogs. I hope you are getting something amazing things to learn right? Well Moving towards important coined term in Machine Learning and it also goes into deep learning. The Legend is "Gradient Descent". Now its time to learn it in a creative way that you would never forget even if you want too 😉. Gradient Descent: The Rollercoaster of Optimization  🎢 Welcome to the most thrilling ride in Machine Learning Land! Buckle up as we take you on the wild journey of gradient descent - where algorithms scream, weights drop, and costs plummet! The Amusement Park of Errors  🎡 Imagine your machine learning model is a rollercoaster cart trying to reach the lowest point in the park (minimum error). But there's a catch - you're blindfolded! Here's how the ride works: The Track  = Your cost function landscape (hills and valleys of error) Your Cart  = The current model weights The Drop  = Learning ra...

Welcome back ! Congratulations on staying updated on Machine learning terms and learning with me! Lets Move to today's topic ! Shall we? PS: Don't forget to check my previous blog to learn about Types of Machine learning in a very creative way that you wont forget trust me 😉 Today lets become a baker ! Think like him and study the following topic: Bias-Variance Tradeoff: The Balancing Act of ML Ever Heard of the Goldilocks Problem in Machine Learning? Imagine you’re baking cookies: Underbaked (High Bias) : Too simple, tastes raw. Overbaked (High Variance) : Too complex, burnt to a crisp. Just Right (Balanced) : Perfectly crispy, just like Grandma’s. Machine Learning models face the same dilemma—too simple, they  underfit ; too complex, they  overfit . This is the  Bias-Variance Tradeoff , and today, we’ll crack it like an egg! What’s Bias? (The Oversimplifier) Bias  = How wrong your model is because it oversimplifies reality. Example: Predicting house pric...

Well another day ,another post about learning something in a creative way that you wouldn't forget! As discussed earlier in my previous blog , we are moving forward with Types of Learning!  PS: Don't forget to check the previous one to get better understanding of the important coined terms in Machine Learning. Well living as Bachler student i learned to cook for myself and friends in a very proficient way. So why not take this analogy and learn Types of Machine Learning 😉  Types of Machine Learning: The Ultimate Family Dinner  🍽️😆 Imagine Machine Learning as a big, chaotic family dinner. Everyone has a different way of eating some follow rules, some just wing it, and one weird member learns by trial and error. Let’s meet the family! Shall we? 1. Supervised Learning (The Rule-Follower) "Mom’s Recipes to cook  – Step by Step!" What it does? -  Learns from  labeled  data (input-output pairs). We can say instructions to cook. How it does ?  Like a ...

 Core Terms of Machine Learning Well hello there and welcome back! As I promised in previous blog , I will be describing the core topics or terms you should know how to define and be smarter than you overconfident nerd friend 😉 Model : " The part of Machine Learning that learns and makes predictions is called Model " easy right? now you know what model is! But examples? here's the example for ya'll : Neural Networks ,Random forests, etc . Data Mining : " Digging into large amounts of data to discover hidden patterns . " Transfer Learning: " Transferring knowledge from one task to another is called transfer learning "  Labels: "The training set you feed to the algorithm includes desired solutions." Supervised Learning: " The system tries to learn with the teacher." Not so technical definition ,but I am also not going into technical stuff soo early. Unsupervised learning: " The system tries to learn without teacher." an...

Well hello there! I am Soham and fresher Graduate in the field of AI and Machine Learning. But just as you I was a student to who was just as confused as you are when I had started to learn AI. But see here I am writing something for you about AI and Machine Learning to explain you just how amazing building an AI is ! And No I will not teach you how to do it ,because there are tons of people out there on YouTube who are doing it for free. I am just here who will try to clear your concepts and also in a creative way that you would never forget it 😉. I will also share some technicalities so there wont be half cooked knowledge of theory. Just sharing it all from a friend to another friend who is eager to know something. GoodLuck ! What is Machine Learning? Many People might think its just bunch of algorithms used for training Machine to do certain task, right? But directly moving to algorithms and training? is it right for complete beginner to feed so much complex...