Tag: Machine learning
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Use event-driven data mesh to avoid drowning in the (data) lake
Posted on April 15, 2021, Level beginner Resource Length medium
For much of the last decade, enterprises fought against data silos, isolated persistence stores holding untold but inaccessible knowledge. Their primary weapon was the data lake: a huge centralized datastore that held terabytes of domain-specific data in a single logical location. By Jesse Menning.
Tags machine-learning big-data cloud cio miscellaneous management
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Moving fast and breaking us all: Big tech's unaccountable algorithms
Posted on April 14, 2021, Level beginner Resource Length medium
They decide who passes and who fails in secondary school. They decide who gets arrested and who goes to prison. They decide what news you see first thing in the morning as well as what news you won't see. And they drive the business models—and revenues—of the world's largest and most powerful digital platforms. By Ellery Roberts Biddle & Jie Zhang.
Tags machine-learning big-data cloud cio learning
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How quantum computing will transform these 9 industries
Posted on April 12, 2021, Level beginner Resource Length medium
Quantum computing remains a nascent technology, but its potential is already being felt across many sectors. From healthcare to finance to artificial intelligence, we look at the industries poised to be reshaped by quantum computers. By cbinsights.com.
Tags software-architecture cloud data-science machine-learning big-data
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Exploring semantic map embeddings
Posted on March 3, 2021, Level advanced Resource Length long
How do you convey the "meaning" of a word to a computer? Nowadays, the default answer to this question is "use a word embedding". A typical word embedding, such as GloVe or Word2Vec, represents a given word as a real vector of a few hundred dimensions. By Johannes E. M. Mosig.
Tags big-data machine-learning cio data-science software
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Understanding Unikernels: The future of cloud computing, probably
Posted on February 21, 2021, Level beginner Resource Length medium
Having used Containers, Kubernetes and Serverless (a lot!) over the last few years, I catch myself wondering 'What next?' when it comes to more efficient, faster and secure units of computing. By Nithin Jois.
Tags distributed software-architecture linux devops performance data-science machine-learning
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How I built Machine learning with Amazon Personalize and a Customer Data Platform
Posted on January 23, 2021, Level intermediate Resource Length long
By making off-the-rack machine learning models accessible for anyone to use, cloud ML services like Amazon Personalize help make ML-driven customer experiences available to teams at any scale. By @mparticle.
Tags aws machine-learning learning big-data data-science
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Improving the performance of your imbalanced machine learning classifiers
Posted on January 17, 2021, Level beginner Resource Length medium
A comprehensive guide to handling imbalanced datasets. By Francis Adrian Viernes.
Tags machine-learning learning big-data data-science
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How to grid search deep learning models for time series forecasting
Posted on November 29, 2020, Level intermediate Resource Length medium
Grid searching is generally not an operation that we can perform with deep learning methods. This is because deep learning methods often require large amounts of data and large models, together resulting in models that take hours, days, or weeks to train. By Jason Brownlee.
Tags how-to machine-learning big-data data-science
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In search for future of cloud storage, researchers look to holographic storage solutions
Posted on November 11, 2020, Level beginner Resource Length medium
Data storage has always been a key tenet of compute, and with the massive growth in cloud compute, the demand for cloud data storage has opened an avenue for both revisiting prior technologies and developing new ones. It is projected that around 125 zettabytes of data will be generated annually by 2024, and storing this in a cost-effective way is going to be a big challenge. By Benn Thomsen , Senior Principal Researcher Dushyanth Narayanan , Senior Principal Researcher Ant Rowstron , Distinguished Engineer / Deputy Lab Director.
Tags cloud performance servers miscellaneous machine-learning
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How to run TensorFlow Lite models on Raspberry Pi
Posted on November 5, 2020, Level beginner Resource Length long
Ahmed Fawzy Gad published this piece about running machine learning on edge devices. The deep learning models created using TensorFlow require high processing capabilities to perform inference. Fortunately, there is a Lite version of TensorFlow called TensorFlow Lite (TFLite for short) which allows such models to run on devices with limited capabilities. Inference is performed in less than a second.
Tags machine-learning app-development robotics big-data data-science
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As AI chips improve, is TOPS the best way to measure their power?
Posted on October 14, 2020, Level beginner Resource Length medium
About the challenge of evaluating AI chip performance using "TOPS", a metric that means trillions of operations per second, or "tera operations per second". By Jeremy Horwitz.
Tags big-data machine-learning data-science robotics performance
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US begins $1 billion quantum computing plan to get ahead of 'adversaries'
Posted on August 30, 2020, Level beginner Resource Length medium
The government is funding basic research in AI, too. When big technologies like mobile phones, 5G networks and e-commerce arrive, it's important to get in on the ground floor. That's why the US government is establishing 12 new research centers, funded with hundreds of millions of dollars, to boost artificial intelligence and quantum computing. By Stephen Shankland @cnet.com.
Tags how-to cloud data-science machine-learning big-data software