Probability

Lets deep dive into the world of statistics to understand the mysteries of continuous frequency distributions and the probability density function (PDF). By the end of this post, you’ll have a clearer understanding of these foundational concepts and their significance in the statistics. In this Blog post we will learn: Continuous Frequency Distributions: Constructing the …

Continuous Frequency Distributions – Understanding Continuous Frequency Distributions and the Probability Density Function (PDF) Read More »

Probability and statistics are often viewed as complex areas of study. However, by using real-world examples and some visual aids, the seemingly challenging concepts become quite intuitive. Let’s deep dive into discrete frequency distributions and the different types of Probability Mass Functions (PMFs). In this Blog post we will learn: Discrete Frequency Distribution: Types of …

Discrete Frequency Distributions – Decoding Discrete Frequency Distributions and Probability Mass Functions (PMFs) with Real-World Scenarios Read More »

In the world of probability and statistics, the concept of the expected value plays a pivotal role. Whether we realize it or not, we make decisions based on expected outcomes in our daily lives. But what does this term mean mathematically, and how is it employed in machine learning? In this Blog post we will …

Expected Value – Understanding Expected Value in Probability and Its Real-Time Applications in Machine Learning Read More »

Understanding probability can be comparable to navigating a maze. Thankfully, Bayes’ theorem acts as our compass, particularly when we update our predictions with new information. Central to this theorem are three pivotal concepts: the prior, likelihood, and posterior. These elements pave the way for Bayesian inference, where Bayes’ theorem is used to renew the probability …

Bayes’ Theorem – Bayes’ Theorem and Bayesian Inference Unraveling the Mysteries of Probability Read More »

Probability is a field of study that deals with the likelihood of events occurring. One of the fundamental concepts in this field is “conditional probability.” At its core, conditional probability helps us understand the probability of an event occurring given that another event has already occurred. This concept is pivotal in many real-world scenarios, from …

Conditional Probability – Understanding Conditional Probability with Examples Read More »

When dealing in probability, we encounter various concepts that provide a framework for understanding the uncertainty of events. One such foundational pillar is the joint probability. This measure informs us about the likelihood of two or more events occurring together. In this Blog post we will learn: What is Joint Probability? 1.1. Joint Probability Formula …

Joint Probability – A Comprehensive Guide with Examples Read More »

Probability, at its core, serves as a measure of the likelihood of an event’s occurrence. But when dealing with multiple events, how do they relate to one another? This brings us to the topic of “mutually exclusive events”. In this Blog Post we will learn: What are Mutually Exclusive Events? Real-Life Examples Mutually Exclusive vs. …

Mutually Exclusive Events – Understanding Mutually Exclusive Events in Probability with Examples Read More »

Probability, a fascinating branch of mathematics, helps us understand the likelihood of an event occurring. Within probability the concepts of independent and dependent events are pivotal. These two notions are key in defining and comprehending the interrelationships between various events. In this Blog Post we will learn: 1. Independent Events 2. Dependent Events 3. Key …

Independent and Dependent Events – Understanding Independent and Dependent Events in Probability Read More »