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The article aims to clarify the definitions, usage, and misconceptions of likelihood vs probability in data science and business.
In this article, you will learn to build a multi-task model for probability prediction, fake and hate using BERT.
Learn about chi-square and A/B Test and find a method that works well for comparing click rates across different advertisements.
Master the art of prompt engineering to optimize language models output for various tasks using design prompts and the OpenAI API.
Learn to use the UNet for image segmentation of Xray images and improve your understanding using machine learning.
The article explores the statistical world, explains population and sample, and how they are used to infer data and draw insights.
Descriptive vs inferential statistics: Types, benefit, limitations, applications on difference between descriptive and inferential statistics
This article explains how to utilize the probabilistic neural networks from the class of Bayesian networks to do the Data modeling.
In this article, we will use use Bayesian learning, making use of the PyMC library to forecast future demands.
In this article, we will talk about overcoming position bias with Inverse Propensity Weighting and downsides of such approach.
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