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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% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

article thumbnail

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% from 2019 to 2025, reaching up to an estimated evaluation of USD 96.7 The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8%

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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

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Highlights from the O’Reilly Artificial Intelligence Conference in London 2019

O'Reilly Media - Data

People from across the AI world came together in London for the Artificial Intelligence Conference. Watch “ The quest for high-quality data “ Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond. Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. million in venture funding from late 2019 to June 2021, underlining the opportunity that investors see in the technology.

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Artificial Intelligence Hype Is Real

CTOvision

The story of Artificial Intelligence hype has a considerable business history in 2019. Once an investment in the future, it is now an optimization of machine learning in the present. AI is increasingly being absorbed into just about every business sector.