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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. Our goal is to enable all developers to find and fix data issues as effectively as today’s best data scientists.

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What a data scientist should know about machine learning kernels?

Mlearning.ai

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Support Vector Machine Support Vector Machine ( SVM ) is a supervised learning algorithm used for classification and regression analysis.

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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. An open-source model, Google created BERT in 2018.

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Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

AWS Machine Learning Blog

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL). The following are a few example RGB images and their labels.

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Foundation models: a guide

Snorkel AI

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. Data scientists can build upon generalized FMs and fine-tune custom versions with domain-specific or task-specific training data. What is self-supervised learning?

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AWS performs fine-tuning on a Large Language Model (LLM) to classify toxic speech for a large gaming company

AWS Machine Learning Blog

The transformer architecture was the foundation for two of the most well-known and popular LLMs in use today, the Bidirectional Encoder Representations from Transformers (BERT) 4 (Radford, 2018) and the Generative Pretrained Transformer (GPT) 5 (Devlin 2018). Safa Tinaztepe is a full-stack data scientist with AWS Professional Services.

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Best Colleges for Data Science Course Online in India

Pickl AI

As per the recent report by Nasscom and Zynga, the number of data science jobs in India is set to grow from 2,720 in 2018 to 16,500 by 2025. Top 5 Colleges to Learn Data Science (Online Platforms) 1. The focus of this e-learning platform is to build proficiency in Data Science.