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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% Consequently, there has been a significant increase in the number of Machine Learning enthusiasts across the globe. billion by the end of 2025.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% Consequently, there has been a significant increase in the number of Machine Learning enthusiasts across the globe. billion by the end of 2025.

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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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Nym Health raises $16.5 million for its auditable machine learning tools for automating hospital billing

TechCrunch

million to its cash haul so it can roll out its technology developing auditable machine learning tools for automating hospital billing. The company was founded in 2018 by two former members of Israel’s 8200 cybersecurity unit of the army. Billing has been a huge problem for healthcare systems in the U.S.,

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Unlocking AI: Machine learning as a service

CIO

On top of this, the rate at which this data is being created is expected to increase at such an extent that IDC predicts the global datasphere will grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025 [2]. billion in 2022, more than three times that in 2018 [3], while the total global business value derived from AI is forecast to reach $3.9

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Are you ready for MLOps? 🫵

Xebia

Read along to learn more! Being ready means understanding why you need that technology and what it is. Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. No longer is Machine Learning development only about training a ML model.

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Highlights from the Strata Data Conference in New York 2018

O'Reilly Media - Data

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Preserving privacy and security in machine learning. Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Watch " Wait.