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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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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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Google Cloud Sandbox Environments On Demand with Playground

Linux Academy

Not only does Linux Academy training content cover the most important cloud technology and tools of today and tomorrow, but our sandbox environments give you the ability to practice with services you’ve never used before. Want to learn how to use machine learning? Spin up a Google Cloud Sandbox and have fun!

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Prisma SD-WAN Integrates With Google Cloud to Simplify Multicloud

Palo Alto Networks

Organizations are moving in full force to adopt the cloud with multicloud availability at the core of their digital transformation. As a result, traditional wide area network (WAN) architectures have become a major bottleneck as they fail to enable direct access to cloud applications. Multicloud and SD-WAN.

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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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How Industry 4.0 Changes Predictive Maintenance From Mobile Apps And What It Means For The Future ?

OTS Solutions

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

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