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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% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. 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% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. more machine learning use casesacross the company.

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FarmSense uses sensors and machine learning to bug-proof crops

TechCrunch

Gnawing, burrowing, infecting: The damages caused to agriculture by insect pests like the Japanese beetle (pictured above) exceed $100 billion every year, according to the Agricultural Research Service of the USDA. That data is turned into audio and analyzed by machine learning algorithms in the cloud. Image Credits: FarmSense.

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American Honda IT to fuel innovation with generative AI

CIO

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The first companies to take that step forward are likely to reap the benefits from faster and broader innovation.”

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5 Innovative Use Cases of Machine Learning in Healthcare

Daffodil Software

Machine Learning (ML) is one of the most versatile technologies of Artificial Intelligence (AI). These days, researchers are coming up with some innovative ways in which machine learning is improving the quality of patient care.

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New Series: Creating Media with Machine Learning

Netflix Tech

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from