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Tag Archives: Machine Learning

Time Series & Deep Learning (Part 1 of N): Basic Stuff

During the last part of my career I had a chance to work with Data Scientists having strong skills in Python. My tech background, after a start with C/C++, is in JVM programming languages mostly (but I had to touch several others during my career), so it was a great chance for me to learn more about practical Python, at ...

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Advances in Machine Learning Are Revolutionizing the Mobile App Development Realm

Disruptive technologies like artificial intelligence, machine learning, the Internet of Things has the potential to fall into the endless pit of buzzword-vagueness. The world is changing at a breathtaking pace. Within a blink of an eye, you will have missed yet another disruption, another tech-driven innovation. But instead of running away, it’s time to embrace it! The digital revolution has ...

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How to apply Machine Learning to Android using Fritz.ai

This article describes how to apply Machine Learning to Android using Fritz.ai. Before diving into the details about how to develop a Machine learning Android app, it is useful to describe briefly what is Fritz.ai platform. As you may know, Machine Learning is an interesting topic that is gaining importance and promises to transform several areas including the way we ...

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Deep Learning Example: Apache Kafka & Python & Keras &TensorFlow & Deeplearning4j

I added a new example to my “Machine Learning + Kafka Streams Examples” Github project: “Python + Keras + TensorFlow + DeepLearning4j + Apache Kafka + Kafka Streams“. This blog post discusses the motivation and why this is a great combination of technologies for scalable, reliable Machine Learning infrastructures. For more details about building Machine Learning / Deep Learning infrastructures ...

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Codeless and ML-Based Automation vs. Traditional Test Automation

There’s no doubt that the test automation space is undergoing transformation. Machine Learning (ML), Deep Learning and Artificial Intelligence (AI) are being leveraged more and more as part of the test authoring and test analysis. While the space is still growing from a maturity stand-point, it is a great time for practitioners (developers and test engineers) to start understanding the ...

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