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Author: kindsonthegenius

Data Science / Machine Learning / Machine Learning 101 / Probability Theory / Probability Theory

Machine Learning 101 – Introduction to Probability Theory

kindsonthegeniusby kindsonthegeniusJuly 20, 20262

As you already know, one of the four basic theories of Machine Learning is the Probability Theory. Or simply, Probability.  And this is one challenge …

Machine Learning 101

Machine Learning 101 – Rules of Probability & Bayes’ Theorem

kindsonthegeniusby kindsonthegeniusJuly 20, 20265

We will now consider some of the important rules of probability. Meanwhile we would also understand the meaning of terms along the line. They include: …

Data Science / Machine Learning 101 / Probability Theory

Machine Learning 101 – Application of Bayes’ Theorem

kindsonthegeniusby kindsonthegeniusJuly 20, 20262

In the previous lesson (Lesson 9), we derived Bayes theorem. So let’s write it out: Also recall that Bayes’ theorem helps us find conditional probabilities …

Data Science / Machine Learning 101 / Probability Theory

Machine Learning 101 – What is Probability Density?

kindsonthegeniusby kindsonthegeniusJuly 20, 20260

By now, you probably understand probability as well as probability theory. You also know about the Sum Rule and Product Rule. Then  you also understand …

Machine Learning / Machine Learning 101

Machine Learning 101 – Introduction to Classification

kindsonthegeniusby kindsonthegeniusJuly 20, 20261

In subsequent lectures, we have  discussed regression problems. Now we would apply the same analysis to classification but with little adjustment. In case of classification, …

Machine Learning 101

Machine Learning 101 – The Bayes’ Classfier

kindsonthegeniusby kindsonthegeniusJuly 20, 20262

This is the second lecture on classification. It follow the first one: Introduction to Classification. Bayes’ Classifier is a classifier that works based on Bayes’ …

Machine Learning / Machine Learning 101

Machine Learning 101 – Minimizing Misclassification Rate in Bayes’ Classifier

kindsonthegeniusby kindsonthegeniusJuly 20, 20261

In Lecture 4, we learnt about the Bayes’ classifier. Here  we would see how to minimize misclassfication rate in Bayes classifier. Again, we would review …

Data Science / Machine Learning

Basics of Receiver Operating Characteristics (ROC) Curve

kindsonthegeniusby kindsonthegeniusJuly 20, 20260

A Receiver Operating Characteristics (ROC) Curve is used to describe the trade-off between correct classifications and wrong classifications. The ROC curve displays a plot of …

Machine Learning / Quizzes

Machine Learning Questions and Answers (Questions 31 to 40)

kindsonthegeniusby kindsonthegeniusJuly 20, 20261

Welcome back! So we’ll continue with Questions 31 to 40 of our Machine Learning Q&A. You can find Question 1 to 20 below Questions 1 …

Microservices

How to Build Microservices in Java using Spring, Eureka (step by step Procedure)

kindsonthegeniusby kindsonthegeniusJuly 20, 20262

We would build a Microservices in Java Step by step. Find the Source Codes here This microservice is based on a simple hypothetical Hospital Information …

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