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Two Years In The Life of AI, Machine Learning, Deep Learning and Java

KDnuggets

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

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How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka

Confluent

Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.

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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. Impedance mismatch between data scientists, data engineers and production engineers.

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Scaling Media Machine Learning at Netflix

Netflix Tech

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Case study: scaling match cutting using the media ML infra The Media Machine Learning Infrastructure is empowering various scenarios across Netflix, and some of them are described here.

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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving , training , CI/CD, feature serving , and model monitoring systems. Lyft is a real-time marketplace and many teams benefit from enhancing their machine learning models with real-time signals.

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Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka

Confluent

For general information about how to build scalable and reliable machine learning infrastructures with Apache Kafka ecosystem, check out the article Using Apache Kafka to Drive Cutting Edge Machine Learning. I will show how to implement this use case in this blog post. Setting up your burglar alarm.

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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

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