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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. Sometimes ML models are just plain wrong, but sometimes they’re wrong and socially discriminatory, or hacked, or simply unethical. [2] We’ll review methods for debugging below. How is debugging conducted today?

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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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10 most in-demand generative AI skills

CIO

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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Researchers jailbreak a Tesla, the FCC fines robocallers and WeWork finds itself in trouble (again)

TechCrunch

Welcome, friends, to TechCrunch’s Week in Review (WiR), the newsletter where we recap the week that was in tech. In this week’s edition of WiR, we cover researchers figuring out a way to “jailbreak” Teslas, the AI.com domain name switching hands and the FCC fining robocallers. Now, on with the recap.

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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? What is IoT or Internet of Things?

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What is the Importance of Machine Learning?

Openxcell

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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What is NLP? Natural language processing explained

CIO

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. NLP applications Machine translation is a powerful NLP application, but search is the most used.