Getting Started with Data Science
What is Data Science? Are you one of those people who don’t have a clue
K-nearest neighbor
When we refer Supervised Learning,the first question comes that algorithmic program ought to be used
MACHINE LEARNING
Introduction to machine learning Source : https://www.ie.edu/exponential-learning/blog/data-science/machine-learning-marketing/ 1. “Data is the new oil” If we
Computational Learning Theory And PAC
Many times while making any decision, you come across some factors which prompt you to
Clustering and its applications
Getting familiar with Clustering Many items about us can be classified as this and that,”
Ensemble Learning
SOURCE:https://miro.medium.com/max/1075/1*10t9S7xvWE5Z3NEZrmHG2w.jpeg When teaching machine learning algorithms, the bias-variance trade-off is a problem we both face.
Bayesian Learning And Gibbs Sampling
The likeliness of an event to occur or the proposition to be true is known
Hypothesis Space And Inductive Bias
Why and how to predict Hypothesis Space And Inductive Bias? Predictions have become very essential
ARTIFICIAL INTELLIGENCE VS MACHINE LEARNING
AI is a huge hype nowadays and people benefit from it every day from Netflix