What is Quantum Machine Learning?
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Frank
- February 19, 2021
- how does quantum machine learning work
- IRIS dataset
- quantum machine learning
- quantum machine learning python
- quantum machine learning qiskit
- quantum machine learning tutorial
- quantum neural network
- quantum neural network python
- quantum neural network qiskit
- quantum neural network tutorial
- what is a quantum neural network
- what is quantum machine learning
Quantum machine learning has attracted an enormous amount of interest in recent years but what actually is quantum machine learning? In this video Quantum Steve will go through the basics and show you how to build a quantum neural network that runs on a real quantum computer from IBM.
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How Azure SQL Enables Real-time Operational Analytics (HTAP) – Part 1
Azure SQL enables hybrid transactional/analytical workloads for real-time operational analytics scenarios through a mix of in-memory and columnar database technologies. In the first episode of this three-part series with Silvano Coriani, explore Azure SQL capabilities to run a mix of transactional and analytical queries on the same underlying data store.
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TransGAN: Two Transformers Can Make One Strong GAN
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Frank
- February 19, 2021
- AI
- artificial intelligence
- Arxiv
- attention is all you need
- attention mechanism
- attention neural networks
- Deep Learning
- deep learning explained
- generative adversarial network
- local attention
- Machine Learning
- machine learning explained
- multihead attention
- Neural Networks
- paper explained
- pixelshuffle
- self attention
- superresolution
- transformer gan
- transformer gans
- transformer generative adversarial network
- transformer generator
- transgan
- vision transformer
Generative Adversarial Networks (GANs) hold the state-of-the-art when it comes to image generation. However, while the rest of computer vision is slowly taken over by transformers or other attention-based architectures, all working GANs to date contain some form of convolutional layers. This paper changes that and builds TransGAN, the first GAN where both the generator […]
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Building modern hybrid applications with Azure Arc and Azure Stack
Thomas Maurer joins Scott Hanselman to show how developers can be more collaborative in developing, deploying, and managing applications across multiple environments and clouds. Build and deploy a truly consistent app experience everywhere in your hybrid cloud using your existing DevOps pipelines, Kubernetes manifests, and Helm Charts – as well as your choice of tools. […]
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Touring a Hacker Van
Hak5’s Glytch gives a tour with this tour his home and workshop on the road. This will make you wonder about that windowless van down by the river.
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The Most Important Topic in Machine Learning right now
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Frank
- February 19, 2021
- Big Data
- black box algorithm
- Data Science
- Machine Learning
- Machine Learning Algorithms
- machine learning hot topics
- machine learning trends
- model explainability
- model explainability and interpretability
- model explainability lime
- model explainability shap
- model explainability techniques
- model explainability tools
- the most important topic in machine learning
Karolina Sowinska discusses the most important topic in Machine Learning right now, namely model explainability. It is one of the hottest discussion points in the data community, because ultimately if we cannot understand how the models arrive at the predictions, it renders them useless in many practical applications.
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Inside The World’s Largest Nuclear Fusion Reactor
In an otherwise unremarkable-looking cluster of industrial buildings somewhere in the southeast of France, a team of engineers is attempting to tackle one of science’s most intractable problems – how to summon the power of a star. If they pull it off, they’ll solve mankind’s greatest existential problems in one stroke.
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