Log-normal Distribution Simply Explained
Author(s): Egor Howell Originally published on Towards AI. A slight modification of the famous normal distribution This member-only story is on us. Upgrade to access all of Medium. Photo by James Yarema on Unsplash The normal distribution is a household name, particularly …
Diversity of Variables in Statistics: A Guide for Data Professionals
Author(s): Anmol Tomar Originally published on Towards AI. Quantitative and Qualitative Variables: Unveiling the Dichotomy This member-only story is on us. Upgrade to access all of Medium. Pic Credits: Analytics Vidhya In statistics, understanding the types of data measurements is essential for …
![Mastering A/B Testing: A Real World Business Example [Part 1]](https://i0.wp.com/miro.medium.com/v2/resize:fit:700/0*0uUGbGqORwh2NlhT.png?w=700&resize=700,592&ssl=1 "Mastering A/B Testing: A Real World Business Example [Part 1]")
Mastering A/B Testing: A Real World Business Example [Part 1]
Author(s): Youssef Hosni Originally published on Towards AI. Step-by-Step Walk-Through Real World A/B Testing Use Case This member-only story is on us. Upgrade to access all of Medium. Imagine a scenario where you are running a website, and you aim to optimize …
How to Use the Bisection Method for Numerical Computing
Author(s): Chinmay Bhalerao Originally published on Towards AI. Understanding the root-finding bisection method and its working Photo by Andrew on Unsplash WE CAN CONNECT ON :U+007C LINKEDIN U+007C TWITTER U+007C MEDIUM U+007C SUBSTACK U+007C A subfield of computer science and mathematics known …
Breaking Down The Gini Index: How Economics Inspired Machine Learning
Author(s): Egor Howell Originally published on Towards AI. How the Gini index from economics is now a crucial concept for machine learning This member-only story is on us. Upgrade to access all of Medium. Photo by Ed Robertson on Unsplash The Gini …
From Overfitting to Excellence: Harnessing the Power of Regularization
Author(s): Sandeepkumar Racherla Originally published on Towards AI. The Role of Regularization: Balancing Complexity and Generalization in Machine Learning Source: Image by Andrew Martin on Pixabay When it comes to Machine Learning, our scope is to find the ML model that makes …
Knowing Linear Regression better!!
Author(s): Charanraj Shetty Originally published on Towards AI. Statistics OLS and Gradient Descent Source Regression Introduction Regression is an Algorithm of the Supervised Learning model. When the output or the dependent feature is continuous and labeled then, we apply the Regression Algorithm. …
Winning The Lottery Using Data Analytics
Author(s): John Bica Originally published on Towards AI. A data-focused strategy you can use to pick numbers in the Yotta lottery Image created by Author with GIFMaker Lotteries are supposed to be based on probability and randomness. You can pick your lucky …
A Visualization of the US Unemployment and its Relationship with Currencies
Author(s): Dhruva Krishna Originally published on Towards AI. April 2021 Release (March 2021 Performance) Photo by Nick Chong on Unsplash This article is an extension of a previous one, in which I attempt to validate the theoretical understanding of Non Farm Payrolls …
MINE: Mutual Information Neural Estimation
Author(s): Sherwin Chen Originally published on Towards AI. Estimating mutual information using arbitrary neural networks through MINE Source: istock.com/ipopba Mutual information, also known as information gain, has been successfully used in the context of deep learning(which we will see soon) and deep …
@Bayes’ Theorem For Bae
Author(s): Michael Knight Originally published on Towards AI. Intro to Probability and Stats U+007C Towards AI Introduce someone to probability theory and statistics without scaring them off Source Bayes’ Theorem is something that confuses and frustrates many, but is not as awful …
How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Author(s): ___ Originally published on Towards AI. Definition In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which …
When Variance and Standard Deviation Fail to Explain Variability!
Author(s): Astha Puri Originally published on Towards AI. We all know the definition of variance — it helps us understand how dispersed the data points are, around the mean. If the data points are far off from the mean, we have larger …
3 Ways Linear Models Can Lead to Erroneous Conclusions
Author(s): ___ Originally published on Towards AI. In this article, I will share 3 ways in which linear models can lead to erroneous conclusions. The focus will be on fitting linear models to simulated data and checking whether the resultant estimates are …
Airline Passengers Prediction Using My Stochastic Time Series Algorithm From Scratch in Python
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Get an email whenever Ashutosh Malgaonkar publishes. My Stochastic Time Series Algorithm — Ashutosh MalgaonkarGet an email whenever Ashutosh Malgaonkar publishes. By signing up, you will create a Medium account if you don't… medium.com …
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