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How does Facebook use Big Data?

Pickl AI

Data, analytics, AI, and robotics, today, the tech discussions revolve around these topics. In this blog, we are going to focus on the usability of this data. Ways Facebook is Using Big Data Analysis of Text You would agree that a large volume of data is added to Facebook. Thus aiding the process of tagging.

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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning Blog

The system needed to handle a large catalog of over 12,000 Stock Keeping Units (SKUs), with new SKUs being continually added at a rate of over 600 per month. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead.

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A Comprehensive Guide to Data Labelling

Pickl AI

Machine Learning is becoming increasingly popular in the current tech-savvy era. Read the blog below to learn more about how data labeling works and gain an understanding of the use cases. Data Labelling is the process of adding meaning to different datasets ensuring that it can be used properly to train a Machine Learning model.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

In the case of social media text mining, that means a focus on comments, posts, ads, audio transcripts, etc. Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., The data collection process should be tailored to the specific objectives of the analysis.

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Copy AI stands out with its plagiarism checker

Dataconomy

Copy AI uses the power of artificial intelligence to craft a multitude of content, be it blog headlines, emails, social media blurbs, or website copy. Whether you’re drafting blog posts, whipping up headlines, or just jotting down a quick paragraph, this tool’s got your back. What is Copy AI? Enter Infobase.

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The most valuable AI use cases for business

IBM Journey to AI blog

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Here are some of the industries that are benefiting now from the added power of AI.

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning Blog

But I would like to have more help in terms of technical support, I haven't had the kind of help with my phone line and I don't have the type of tech support I want. In this section, we further improve the model performance by adding HPO tuning with SageMaker automatic model tuning. /containers/huggingface_transformer_randomforest').resolve()),

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