Remove Clean Data Remove ML Remove Supervised Learning
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Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

ODSC - Open Data Science

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Everybody knows you need to clean your data to get good ML performance. How does cleanlab work?

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How to Download Video from YouTube for Machine Learning Projects

How to Learn Machine Learning

Welcome to another exciting tutorial on building your machine learning skills! Today, we’re diving into something super practical that will help you gather data for your ML projects – how to download video from YouTube easily and efficiently! What is Y2Mate? Want audio-only for your speech recognition system?

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How Creating Training-ready Datasets Faster Can Unleash ML Teams’ Productivity

DagsHub

ML teams have a very important core purpose in their organizations - delivering high-quality, reliable models, fast. With users’ productivity in mind, at DagHub we aimed for a solution that will provide ML teams with the whole process out of the box and with no extra effort.

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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

As AI adoption continues to accelerate, developing efficient mechanisms for digesting and learning from unstructured data becomes even more critical in the future. This could involve better preprocessing tools, semi-supervised learning techniques, and advances in natural language processing. read HTML).

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The Hidden Cost of Poor Training Data in Machine Learning: Why Quality Matters

How to Learn Machine Learning

The quality of your training data in Machine Learning (ML) can make or break your entire project. Iterative Training : Models should be retrained and fine-tuned with new data to keep up with evolving scenarios, especially in fields like healthcare, finance, and autonomous driving.

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Understanding Everything About UCI Machine Learning Repository!

Pickl AI

Established in 1987 at the University of California, Irvine, it has become a global go-to resource for ML practitioners and researchers. The global Machine Learning market continues to expand. What is the UCI Machine Learning Repository? It provides diverse datasets for research, education, and real-world applications.

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NLP, Tools and Technologies and Career Opportunities

Women in Big Data

A Large Language Model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabeled text using self-supervised learning or semi-supervised learning.LLM works on the Transformer Architecture.