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A Basic Guide To Kubernetes in Production - Analytics Vidhya

www.analyticsvidhya.com | 17 min read | listed 9 hours ago in Analytics Vidhya

This article was published as a part of the Data Science Blogathon.   Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […]

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How can Fuzzy Logic be used for rule-based decision-making?

analyticsindiamag.com | 6 min read | listed 2 days ago in Analytics India Magazine | Artificial Intelligence & Data Science stories

In this article, we will take a look at another possible methodology to make decisions at a more minute level, that is Fuzzy logic systems.

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Understanding the Process of Technical Content Translation - Florida News Times

floridanewstimes.com | 4 min read | listed 1 day ago in Google Alerts — Daily Digest

Technical content translation may seem like an easy task at first but once you actually start doing it, you will quickly change your mind. There are certain procedures and rules in technical translation that do not necessarily apply to regular kinds of translation. You need to understand these special requirements so that you can create …

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How To Implement A Successful DataOps Strategy And Why It Matters

www.forbes.com | 5 min read | listed 13 hours ago in European Media Monitor - Artificial Intelligence

As you adopt a DataOps strategy to help make your business a data business, here are four key things to keep in mind.

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This Post Was Written by GitHub Copilot | flower.codes

flower.codes | 6 min read | listed 1 day ago in Lobsters: ai - Artificial Intelligence, Machine Learning
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Interpretable and Explainable NER With LIME - DZone AI

dzone.com | 9 min read | listed 2 days ago in DZone - AI

Understand the reasoning and inner works behind machine learning models and AI use the LIME algorithm; explain and interpret Named Entity Recognition

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A Guide to Explainable Named Entity Recognition

analyticsindiamag.com | 7 min read | listed 1 day ago in Analytics India Magazine | Artificial Intelligence & Data Science stories

Explainable Named Entity Recognition is a concept of making Named Entity Recognition more explainable and interpretable.

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Optimize Python With Direct Attribute Access | Better Programming

betterprogramming.pub | 4 min read | listed 10 hours ago in Data Science - Topic feed @ Medium

A simple, yet powerful, optimization technique that will make your programs run about 2.5 times faster

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Kaldi Speech Recognition for Beginners - A Simple Tutorial

www.assemblyai.com | 21 min read | listed 11 hours ago in reddit/LanguageTechnology/I made a tutorial on how to do Speech Recognition with Kaldi!

Want to learn how to use Kaldi for Speech Recognition? Check out this simple tutorial to start transcribing audio in minutes.

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Introductory note on Deep Learning - Analytics Vidhya

www.analyticsvidhya.com | 15 min read | listed 11 hours ago in Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […]

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🧐 Find label errors with cleanlab — Rubrix master documentation

rubrix.readthedocs.io | 5 min read | listed 2 days ago in reddit/MachineLearning/[P] Finding and correcting text classification label errors with cleanlab and Rubrix | https://rubrix.readthedocs.io/en/master/tutorials/find_label_errors.html

In this tutorial we will leverage Rubrix and cleanlab to find, uncover and correct potential label errors. You can do this following 4 basic steps: 💾 load a dataset with potential label errors, her...

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Data-efficient GANs with Adaptive Discriminator Augmentation

keras.io | 26 min read | listed 2 days ago in reddit/MachineLearning/[Discussion] Why does this code example on keras use linear activation function for dcgans discriminator?
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C++ Named Requirements: Compare - Lei Mao's Log Book

leimao.github.io | 3 min read | listed 2 days ago in Lei Mao's Log Book – Lei Mao

Caveats of Compare Functions in C++

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Programming Languages to Learn in 2022

thecleverprogrammer.com | 2 min read | listed 2 days ago in Thecleverprogrammer

This article will introduce you to the programming languages you should choose to learn in 2022. Programming Languages to Learn in 2022.

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Make an effective analysis of content that you can publish o... | MENAFN.COM

menafn.com | 5 min read | listed 2 days ago in European Media Monitor - Artificial Intelligence
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How to get better Q&A answers from GPT-3 – @AndrewMayne

andrewmayneblog.wordpress.com | 2 min read | listed 2 days ago in @AndrewMayne

GPT-3 is an exceptional mimic. It looks at the text input and attempts to respond with what text it thinks best completes the input. If the first line sounds like something from a romance novel it …

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Ontologies and Semantic Annotation. Part 1: What Is an Ontology - DataScienceCentral.com

www.datasciencecentral.com | 5 min read | listed 2 days ago in Twitter — recent in #ai #bigdata #machinelearning

Ontologies and Semantic Annotation. Part 1: What Is an Ontology In the abundance of information, both machines and human researchers need tools to navigate and process it. Structuring and formalization of data into hierarchies, such as trees, may establish the relations between the data required for efficient machine processing and may make the information more… Read More »Ontologies and Semantic Annotation. Part 1: What Is an Ontology

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Ontologies and Semantic Annotation. Part 2: Developing an Ontology - DataScienceCentral.com

www.datasciencecentral.com | 2 min read | listed 2 days ago in Twitter — recent in #ai #bigdata #machinelearning

In the previous part, we started to outline what ontologies are and how they may be used; now it is time to get into more practical guidelines and tips that would help build an ontology from scratch. Though there exist a number well-established methodologies for developing an ontology in various environments, including Protege, Ontolinqua and… Read More »Ontologies and Semantic Annotation. Part 2: Developing an Ontology

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Ubuntu Mouse Click Invalid Fix - Lei Mao's Log Book

leimao.github.io | 1 min read | listed 1 day ago in Lei Mao's Log Book – Lei Mao

Avoid a Hard Reboot for Ubuntu

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Ubuntu Mouse Click Invalid Fix - Lei Mao's Log Book

leimao.github.io | 1 min read | listed 1 day ago in Lei Mao's Log Book – Lei Mao

Avoid a Hard Reboot for Ubuntu

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Exploring NYPD Collision Data —Part 1: Data clean-up and augmentation | by Roger Lefort | Jan, 2022 | Medium

blog.thecyclingscientist.com | 5 min read | listed 1 day ago in Data Science - Topic feed @ Medium

In 2011 the New York City Council passed Local Law #12 requiring the NYPD to collect and make available to the public records of all…

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A Simple Guide to Real-Time Speech Recognition in Python | by Frank Andrade | Jan, 2022 | DataDrivenInvestor

medium.datadriveninvestor.com | 4 min read | listed 1 day ago in Machine Learning - Topic feed @ Medium

Learn how to perform real-time speech recognition with Python in 3 steps.

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Deploying Machine Learning models using AWS Lambda and Github Actions - A Detailed Tutorial | Shreyansh Singh

shreyansh26.github.io | 5 min read | listed 1 day ago in reddit/artificial/Deploy ML models using AWS Lambda and Github Actions - A detailed tutorial

Quite a while back, I had written a post in which I described how to package your Machine Learning models using Docker and deploy them using Flask. This post, through a PoC, describes - How to package your model using Docker (similar as last post) How to push the Docker container to Amazon ECR Add a Lambda Function for your model Make a REST API using Amazon API Gateway to access your model Automate the whole process using Github Actions, so that any updates to the model can take effect immediately Make a Streamlit app to make a UI to access the REST API (for the model deployed on AWS) All the code can be found in my Github repository.

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How to prove that the loss functions in Deep Neural nets are non-convex - Quora

www.quora.com | 1 min read | listed 1 day ago in reddit/MachineLearning/[D] Why do we always illustrate and depict the Loss Functions of Neural Networks as Non-Convex?

Answer (1 of 5): As Ian Goodfellow mentions, one way is to restrict the loss function to a line. The gist is this: you take a random 1-D slide of the function arguments and plot it against the objective function values. Then, simply plot many random 1-D slices and the instance that you find a sli...

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Andrej Baranovskij Blog: Hugging Face Gradio App on Docker

andrejusb.blogspot.com | 2 min read | listed 1 day ago in Andrejus Baranovskis Blog - Blog about Oracle, Machine Learning and Cloud

Blog about Oracle, Machine Learning and Cloud

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