Probability

Towards Data Science

Different definitions of probability explained through an experiment in Python with Pi

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Probabiliy theory basics

Towards Data Science

In this series I want to explore some introductory concepts from statistics that may occur helpful for those learning machine learning or refreshing their knowledge. Those topics lie at the heart of…

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Understanding probability. Finally!

Towards Data Science

Practical guide to probability concepts for data scientists. Gentle illustrative examples about outcome, event, random variable, probability distribution, expectation, mean and variance.

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Introduction to Probability:

Analytics Vidhya

There are many tutorials, articles available on internet that will demonstrate you how to calculate probability. So, instead of going for it, in this article I will focus on- 1. What Probability is…

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Probability

Machine Learning Glossary

Probability Links Screenshots License Basic concepts in probability for machine learning. This cheatsheet is a 10-page reference in probability that covers a semester’s worth of introductory probabili...

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Probability concepts explained: Introduction

Towards Data Science

An accessible introduction to basic concepts in probability theory. It starts defining what a random variable is and explains how to calculate probability for simple events.

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Foundations of Probability

Towards Data Science

Sigma algebra is considered part of the axiomatic foundations of probability theory. The topic is briefly covered in Casella & Berger’s Statistical Inference. The need for sigma algebras arises out…

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Statistics and probability refresher

Towards Data Science

From June 2020, I will no longer be using Medium to publish new stories. Please, visit my personal blog if you want to continue to read my articles: https://vallant.in. A foundation in statistics is…

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Beginner level probability and statistics

Towards Data Science

Introduction to expected value, variance, standard deviation, covariance, correlation, covariance matrix and correlation matrix

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Probability Distribution

Towards Data Science

I’m a data scientist for a mobile application. As a data scientist, you will often draw a random sample from the population to conduct experiments or analyses. With the random sample, you make…

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Statistics #04 — Introduction to Probability

Towards Data Science

Today, we’ll talk about probability. If you are starting your studies in statistics, or if you just want to recall some basic concepts, this series is for you! For instance, when you check the…

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Probability concepts explained: Rules of probability (introduction part 2)

Towards Data Science

An introduction to the fundamental rules of probability theory. These rules are the building blocks for the rest of the probabilistic framework.

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Understanding Probability & Statistics…

Towards Data Science

Understanding different probability distribution and their use. Explanation of common topics in statistics and hypothesis testing with python implementation.

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Probability Part 2: Conditional Probability

Towards Data Science

This is the second in a series of blogposts which I am writing about probability. In this post I introduce the fundamental concept of conditional probability, which allows us to include additional…

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Probability: classical, frequentist and subjective approach

Analytics Vidhya

Probability can be defined as a tool to manage uncertainty. Whenever an event is neither the certain one (with probability=1) nor the impossible one (probability=0), we are facing an uncertain…

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An Introduction to Probability for Beginners

Python in Plain English

Experiment: An experiment is a procedure that can be repeated infinitely, resulting in a set of possible outcomes and whose outcome is not predictable with certainty in advance. 2. Marginal…

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Probability and Statistics

Dive intro Deep Learning Book

One way or another, machine learning is all about uncertainty. In supervised learning, we want to predict something unknown (the target ) given something known (the features ). Depending on our object...

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Different Probability Distributions Part 2

Towards AI

Now we will see the Continuous variable distributions whereas in part 1 we saw the discrete distributions. In continuous distributions the point probability is equal to “0” and some of the…

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Appendix: Probability

Analytics Vidhya

These notes are intended to provide a “fast” collection of theoretical definitions, theorems, and concepts for Probability as a refresher and a collection of definitions, theorems, and corollaries…

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The mathematical foundations of probability

Towards Data Science

Abstractions are there to hide irrelevant things and focus only on the important details. Although it may seem scary sometimes, it is the best tool to manage complexity. If you ask n mathematicians…

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All you Need to Know about Probability — Chapter 1.1: Randomness

Analytics Vidhya

All you Need to Know about Probability — Chapter 1.1: Randomness. What outcomes and events are, what independence and conditional probability mean and how we use Bayes Theorem to update our beliefs ab...

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An Introduction to Probability and the World of Chance

Analytics Vidhya

The concept of probability touches practically all aspects from our lives. In fact, we base many of the decisions we make on the probability of events we perceive to be the most beneficial…

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The Fundamental Principle of Probability

Towards Data Science

If you wouldn’t knowingly invest in a hedge fund whose manager is compensated the same for generating big returns as for going insolvent, or place a bet with a bookie who doesn’t pay up when he…

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Probability and Likelihood

Analytics Vidhya

Probability is the exact outcome of certain events. In Probability you know what is the outcome of an occurring of an event. Whereas, in likelihood you are not certain about the outcomes. Outcomes…

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