Tag: Data and analytics
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Google engineers 'mutate' AI to make it evolve systems faster than we can code them
Posted on April 23, 2020, Level beginner Resource Length short
Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to create new AI systems, without any human intervention. By David Nield.
Tags data-and-analytics cloud-and-infrastructure ai-and-machine-learning
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10 useful insights from IoT leaders in the trenches
Posted on April 21, 2020, Level beginner Resource Length short
At Ericsson, they are fortunate enough to frequently work and speak with IoT leaders in the industry. Ericsson thrives on hearing what excites their partners most about IoT, what challenges they have faced, and if we can help solve any, and what they think the future will look like in the industry. On Ericsson blog.
Tags leadership-and-career business-and-emerging-tech miscellaneous data-and-analytics
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Track, Store and Analyze granular Page Performance data: a practical guide
Posted on April 18, 2020, Level beginner Resource Length medium
In this post, author guides you through all steps needed to collect, process, and analyse the Navigation Timing results of all your web site visitor's page views. Written by Jules Stuifbergen.
Tags data-and-analytics frontend-and-mobile miscellaneous leadership-and-career
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Extracting data from various sheets with Python
Posted on April 12, 2020, Level beginner Resource Length medium
How to learn to unify Google Sheets, Excel, and CSV files -- a code-along guide. By Fabian Bosler.
Tags backend-development how-to leadership-and-career data-and-analytics
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Building data pipeline 101
Posted on April 11, 2020, Level beginner Resource Length medium
Haridas N is author of this article about data pipelines and how machine learning (ML) helps businesses manage, analyze, and use data more effectively than ever before.
Tags ai-and-machine-learning data-and-analytics miscellaneous
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Autoencoders with Keras, TensorFlow, and Deep Learning
Posted on April 10, 2020, Level advanced Resource Length medium
In this tutorial, you will learn how to implement and train autoencoders using Keras, TensorFlow, and Deep Learning. Author discusses what autoencoders are, including how convolutional autoencoders can be applied to image data. Also more about the difference between autoencoders and other generative models, such as Generative Adversarial Networks (GANs). By Adrian Rosebrock.
Tags ai-and-machine-learning data-and-analytics backend-development
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Setting SSL/TLS protocol versions with PostgreSQL 12
Posted on March 28, 2020, Level intermediate Resource Length medium
Straight to the point tutorial about setting SSL/TLS protocol versions in open source database PostgresQL. Published by Peter Eisentraut.
Tags security-and-privacy data-and-analytics devops-and-ci-cd software-engineering cloud-and-infrastructure
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How container networking affects database performance
Posted on March 20, 2020, Level intermediate Resource Length medium
An article by Percona team about building and releasing Operators for Kubernetes to run traditional databases in a cloud-native fashion. They released Percona Server for MongoDB and Percona XtraDB Cluster; they were chosen because they both feature replication systems that can be made to work effectively in a containerized world.
Tags data-and-analytics backend-development software-engineering devops-and-ci-cd
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Announcing TensorFlow Quantum: An open source library for quantum machine learning
Posted on March 10, 2020, Level beginner Resource Length medium
Machine learning (ML), while it doesn't exactly simulate systems in nature, has the ability to learn a model of a system and predict the system's behavior. Over the past few years, classical ML models have shown promise in tackling challenging scientific issues, leading to advancements in image processing for cancer detection, forecasting earthquake aftershocks, predicting extreme weather patterns, and detecting new exoplanets. Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research.
Tags data-and-analytics ai-and-machine-learning architecture-and-apis cloud-and-infrastructure
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Flexible MariaDB server Query Cache
Posted on March 5, 2020, Level intermediate Resource Length medium
The Server Query Cache (QC) is a well-known feature of MariaDB Server–it caches SQL statements and the corresponding result sets. Today we have faster, solid-state disks and more RAM, so the Query Cache is less important. Reducing reliance on cache alleviates its negative effects, such as mutex blocking. By Anders Karlsson.
Tags backend-development data-and-analytics devops-and-ci-cd miscellaneous
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Event-driven servers: An Intuitive Study
Posted on March 4, 2020, Level intermediate Resource Length medium
James Lim out together this piece about short explainer of event-driven servers, intended to help readers gain an intuitive understanding of event loops.
Tags cloud-and-infrastructure miscellaneous architecture-and-apis data-and-analytics
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Lessons learned from deploying a machine learning model
Posted on February 26, 2020, Level intermediate Resource Length medium
More than half a million calls go through the Talkdesk systems every day. For our clients, especially larger contact centers, it can be difficult to understand and monitor everything happening due to the amount of structured and unstructured data and the high pace at which they originate. Our main goal is to make their job easier by providing insightful dashboards about calls and the overall call center performance. By Henrique Carlos.
Tags data-and-analytics