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How to Improve Dataset Selection with ChatGPT?

Analytics Vidhya

This article examines how the dataset selection process can be streamlined by using ChatGPT. ChatGPT can help you with everything […] The post How to Improve Dataset Selection with ChatGPT? It might be intimidating to navigate the enormous amount of data that is available, though. appeared first on Analytics Vidhya.

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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

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.

professionals

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Feature Selection 101: The Manual For Beginners

Analytics Vidhya

Introduction With the overwhelming hype of feature selection in machine learning and data science today, you might wonder why you should care about feature selection. The post Feature Selection 101: The Manual For Beginners appeared first on Analytics Vidhya. If you don’t have […].

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Alternative Feature Selection Methods in Machine Learning

KDnuggets

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

Industry expert Scott Sehlhorst will: Introduce a taxonomy for user goals with real world examples Present the Onion Diagram, a tool for contextualizing task-level goals Illustrate how customer journey maps capture activity-level and task-level goals Demonstrate the best approach to selection and prioritization of user-goals to address Highlight the (..)

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Selective prediction – Enhance the accuracy of large language models

Data Science Dojo

Regarding selective prediction in large language models , it refers to the model’s ability to generate specific predictions or responses based on the given input. For example, if asked a question, the model will selectively predict an answer relevant to that question, ignoring unrelated information.

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Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

KDnuggets

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

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The Definitive Guide to Embedded Analytics

It will also illustrate how to select the right solution and what investments are required for success. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

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The Definitive Guide to Embedded Analytics

It will show you how to select the right solution and what investments are required for success. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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4 Approaches to Data Analytics for Your Application

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.