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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. Act One: Exploratory Data Analysis — Automation The nuisance of repetitive tasks is something we programmers know all too well.

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning Blog

The textual description is added as metadata to an Amazon Kendra search index via an automated custom document enrichment (CDE). It allows users to quickly and easily find the images they need without having to manually tag or categorize them. GenAI-based image captioning is particularly useful for automating this laborious process.

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Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

AWS Machine Learning Blog

Set up Data Wrangler Download the bank.zip dataset from the University of California Irving Machine Learning Repository. Encode categorical features Some feature types are categorical variables that need to be transformed into numerical forms. Choose the Encode categorical transform. Choose Add. Choose Add.

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Comparing Tools For Data Processing Pipelines

The MLOps Blog

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. Automation : A data pipeline automates the process of collecting, processing, and storing large volumes of data. This is what data processing pipelines do for you.

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Best Image Annotation Tools in 2024

Marktechpost

Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image. is a no-download, no-install internet application for labeling photographs. Makingsense.ai TensorFlow.js

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Build an ML Inference Data Pipeline using SageMaker and Apache Airflow

Mlearning.ai

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. For example, a company may enrich documents in bulk to translate documents, identify entities and categorize those documents, etc.

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Data security: Why a proactive stance is best

IBM Journey to AI blog

One such breach occurred in May 2022, when a departing Yahoo employee allegedly downloaded about 570,000 pages of Yahoo’s intellectual property (IP) just minutes after receiving a job offer from one of Yahoo’s competitors. Use dedicated data security software.