Demystifying Machine Learning
KDnuggets
SEPTEMBER 15, 2023
This article is intended to familiarize you with the essence of Machine learning, the basic concepts, and the high-level machine learning process.
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Explainable AI: Demystifying the Black Box Models
Analytics Vidhya
OCTOBER 25, 2023
Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries. Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems.
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Locally Linear Embedding Demystifies High-Dimensional Data
Analytics Vidhya
DECEMBER 21, 2023
Introduction In the world of machine learning, the curse of dimensionality is a formidable foe. This post takes you […] The post Locally Linear Embedding Demystifies High-Dimensional Data appeared first on Analytics Vidhya.
A Roadmap to Machine Learning Algorithm Selection
KDnuggets
MAY 8, 2024
The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.
Demystifying UNet and Learning Image Segmentation
Analytics Vidhya
MAY 27, 2023
Introduction The UNet is the first model that comes to mind these days whenever we want to use image segmentation in machine learning. Learning Objectives 1. Implement an image […] The post Demystifying UNet and Learning Image Segmentation appeared first on Analytics Vidhya. What is segmentation?
Demystifying Model Interpretation using ELI5
Analytics Vidhya
NOVEMBER 9, 2020
Introduction Most of the machine learning and artificial intelligence models are popularly. The post Demystifying Model Interpretation using ELI5 appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.
The new CIO mandate: Selling AI to employees
CIO Business Intelligence
APRIL 29, 2024
Barchi agrees, adding that part of a CIO’s role is to demystify AI, show how it will be helpful, and explain how the organization is safely and appropriately adopting it. CIOs should be “change agents” who “embrace the art of the possible,” he says. They need to have a culture of experimentation.”
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