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Topsort, an auction-based advertising startup, now valued at $110M after seed round

TechCrunch

When Regina Ye was in college, she was a Shopify seller and recalls being so fed up with advertising solutions that she spent finals week staying up late to figure out how ads worked on Facebook and Amazon. “It I was an early adopter of B2B marketplaces, but advertising was this black box. Where will our data go when cookies disappear?

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 5] This means unexpected input data or small changes over time in the input data or data pipeline can wreak havoc on a model’s performance. 2] The Security of Machine Learning. [3] ML security audits.

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Data-driven Advertising in a Privacy-First World: Exploring the Power of Google Enhanced Conversions

Perficient

Google Enhanced Conversions is a feature in Google Ads that allows advertisers to measure and track the performance of their online campaigns more accurately. With Enhanced Conversions, advertisers can capture and measure various types of conversions beyond standard website conversions.

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6 Best Machine Learning Algorithms for Modern Business Applications

KitelyTech

Today’s businesses are using machine learning algorithms to improve internal and customer-facing operations, leading to better experiences for customers. Machine Learning (ML) lets companies harness the power of artificial intelligence and modern technologies to improve in ways that were not possible before.

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10 most in-demand generative AI skills

CIO

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning - AI

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Popular use cases Advertising tech companies own video content like ad creatives.