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Machine Learning and Deep Learning: How Does Machine Learning Work?

G2 Crowd Software

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. For most people, these terms are alienating because many people don’t have an understanding of what machine learning and deep learning are.

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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly Media - Data

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Anna Roth discusses human and technical factors and suggests future directions for training machine learning models. Watch “ TensorFlow.js: Bringing machine learning to JavaScript “ MLIR: Accelerating AI.

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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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The industrial data revolution: What founders got wrong

TechCrunch

We were focused all the way back then on what we now call the Internet of Things (IoT). In addition to data exhaust and machine-generated data, we started to have adversarial uses of data. Consider social media data and the recent conversations around “fake news.” That mentality has largely changed.

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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.

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Climate tech opportunities for IT pros

CIO

In especially high demand are IT pros with software development, data science and machine learning skills. Agritech firms are hiring IoT and AI experts to streamline farming think smart irrigation and predictive crop analytics.

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4 Reasons That Show How Far Machine Learning Still Has to Go

CTOvision

Read Limesh Parekh list four reasons that show that machine learning and AI still have a far way to go on Entrepreneur : Every day we hear and read about how machine learning is changing the face of technology.