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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] Not least is the broadening realization that ML models can fail.

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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

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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What is NLP? Natural language processing explained

CIO

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology. Chatbots work the same way.

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Guarding the gates: a look at critical infrastructure security in 2023

CIO

Modern advancements like artificial intelligence (AI) machine learning and blockchain-based networks specifically have an impact in this area. As technology advances, so too does the sophistication of threats to these essential systems. Ransomware Attacks: Ransomware attacks pose a substantial threat to critical infrastructure.

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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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Generative AI: the Shortcut to Digital Modernisation

CIO

GENERATIVE AI & LOW/NO-CODE As Generative AI and low-code technology are increasingly merging, businesses can unlock numerous opportunities while using them in tandem: Shared spotlight with non-IT experts: Generative AI allows “citizen developers” to take advantage of the opportunities in development with minimal software training and skills.