DKDivyajot Kaurinai-beginners-journey.hashnode.dev·4d ago · 4 min readPart 11: What is Gradient Descent?In the previous blog, we learned how Linear Regression finds a best-fit line to make predictions. But an important question remains: How does the model know which line is the best? The answer lies in 00
BSBerkan Seseninsesenai.hashnode.dev·Jun 12 · 13 min readLDA vs PCA: Supervised Meets Unsupervised Dimensionality ReductionYou have a high-dimensional dataset and you need to squeeze it down to two or three dimensions for visualisation or downstream modelling. The go-to move is PCA, and most of the time it works. But cons00
ACAnik Chandinanikchandml.hashnode.dev·May 23 · 2 min read#2 Supervised vs Unsupervised LearningMachine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Machine learning is mainl00
YPYejun Parkinyejunpark3.hashnode.dev·May 19 · 16 min readClustering Explained: How Machines Find Hidden Patterns Without LabelsWhen you open your email inbox, you don't have to manually sort thousands of messages — your client has already grouped them: promotions here, social notifications there, important work threads up top00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Apr 30 · 4 min readPart 4: Regression vs Classification: How Machines Predict & DecideIn the previous blog, we explored what Supervised Learning is and how models learn from data. Now, let's understand how Supervised Learning is used to solve real-world problems using two key approache00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Apr 22 · 4 min readPart 3: Types of Machine LearningThink about how you learned things growing up-being taught by someone, figuring things out on your own, or learning from mistakes. Machine Learning follows these same patterns In this blog, we'll brea00
SShrutiinskeptical-machine-learning.hashnode.dev·Apr 19 · 4 min readHow Context Shapes LearningIn our last article, we looked at the Learning of Machine. We saw how Mean Squared Error \((MSE)\) acts as a measure of regret and Gradient Descent acts as a compass to minimize that regret. But even 00
BSBerkan Seseninsesenai.hashnode.dev·Apr 19 · 14 min readPCR vs PLS: When Fewer Features Beat MoreHow much should a baseball team pay its players? The 1986 Major League season gives us 263 hitters with 19 statistics each: at-bats, hits, home runs, years played, and more. Predicting salary from per00
BSBerkan Seseninsesenai.hashnode.dev·Apr 17 · 16 min readText Classification from Scratch: TF-IDF and Naive BayesEvery morning, your inbox separates spam from real email. News apps sort articles into sports, tech, and politics. Customer support systems route tickets to the right team. Behind all of these is text10
VUVishal Uttam Maneinvishal-uttam-mane-super-unsuper-learning.hashnode.dev·Apr 14 · 4 min readSupervised vs Unsupervised Learning in Real ApplicationsMachine learning systems are broadly categorized into supervised and unsupervised learning paradigms, each addressing fundamentally different problem spaces. While the theoretical distinction is strai00
