Tag: Big data
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Data-driven software architecture
Posted on October 29, 2020, Level beginner Resource Length short
The web continues to grow and expand in innovative ways. At the same time, few seem to notice that the way web applications are currently built is dragging us ever deeper into technical debt. Software-centric architecture and legacy technologies used to implement it are at odds with the potential of the web. At best they are wildly inefficient, and at worst they are heading us into a software apocalypse. By AtomGraph.
Tags software-architecture containers web-development app-development agile big-data
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Setting Google Analytics on a Jekyll website and implementing cookie consent collect
Posted on October 27, 2020, Level beginner Resource Length long
It is very useful to have Google Analytics on your website to have an idea of how many (or how few) people are visiting. Using Google Analytics on a website requires a valid consent from visitors (Because of ePrivacy Directive and not the GDPR). By Coralie Collignon.
Tags analytics miscellaneous big-data web-development
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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
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How close are computers to automating mathematical reasoning?
Posted on August 29, 2020, Level beginner Resource Length long
AI tools are shaping next-generation theorem provers, and with them the relationship between math and machine. By Stephen Ornes.
Tags machine-learning miscellaneous big-data robotics performance
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Apache Cassandra: An essentials guide
Posted on August 25, 2020, Level intermediate Resource Length long
Need to get up to speed on Cassandra and learn how it can benefit your software development practices? These are the essentials that cover the basics. By Rebecca Mills, Developer Relations @ DataStax.
Tags apache database nosql cloud big-data
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Centralize your automation logs with Ansible Tower and Splunk Enterprise
Posted on July 15, 2020, Level intermediate Resource Length long
For many IT teams, automation is a core component these days. But automation is not something on it's own - it is a part of a puzzle and needs to interact with the surrounding IT. By Leonardo Araujo.
Tags python ansible devops analytics big-data
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Mastering AWS Kinesis data streams
Posted on July 14, 2020, Level advanced Resource Length long
An article by Anahit Pogosova in which she describes how she has been working with AWS Kinesis Data Streams for several years, dealing with over 0.5TB of streaming data per day. Rather than telling you about all the reasons why you should use Kinesis Data Streams (plenty is written on that subject), she will talk about the things you should know when working with the service.
Tags software-architecture event-driven messaging big-data cio data-science code-refactoring
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Introduction to Machine Learning K-Nearest Neighbors (KNN) algorithm in Python
Posted on July 13, 2020, Level beginner Resource Length long
Machine Learning is one of the most popular approaches in Artificial Intelligence. Over the past decade, Machine Learning has become one of the integral parts of our life. It is implemented in a task as simple as recognizing human handwriting or as complex as self-driving cars. By Vibhu Singh.
Tags machine-learning big-data data-science fintech python
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Training a deep CNN to learn about galaxies in 15 minutes
Posted on June 17, 2020, Level advanced Resource Length long
Let's train a deep neural network from scratch! In this post, I provide a demonstration of how to optimize a model in order to predict galaxy metallicities using images, and I discuss some tricks for speeding up training and obtaining better results. By John F Wu.
Tags big-data machine-learning data-science python
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How to perform K-means clustering with Python in Scikit?
Posted on June 7, 2020, Level intermediate Resource Length medium
While deep learning algorithms belong to today's fashionable class of machine learning algorithms, there exists more out there. Clustering is one type of machine learning where you do not feed the model a training set, but rather try to derive characteristics from the dataset at run-time in order to structure the dataset in a different way. It's part of the class of unsupervised machine learning algorithms. By Christian Versloot.
Tags python data-science analytics big-data
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5 Useful jq commands to parse JSON on the CLI
Posted on June 5, 2020, Level beginner Resource Length long
JSON has become the de facto standard data representation for the web. It's lightweight, human-readable (in theory) and supported by all major languages and platforms. However, working on the CLI with JSON is still hard using traditional CLI tooling. By Fabian Keller.
Tags json big-data data-science programming software