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Amazon Translate enhances its custom terminology to improve translation accuracy and fluency

AWS Machine Learning Blog

To use the custom terminology feature, you should create a terminology file (CSV or TMX file format) and specify the custom terminology as a parameter in an Amazon Translate real-time translation or asynchronous batch processing request. There is no change required for existing customers to use the enhanced feature.

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From Synonyms to GPT-3: The Ultimate Guide to Text Augmentation for Improving Minority Class Labels in NLP

Towards AI

Text Augmentation uses transformations to create new data from existing text. There’s a “BONUS” method or you can say a “HACK” in the last method which I have tried many times and many people don't know about this method. The ChatGPT’s Openai library, which is based on the GPT-3 architecture, can be used to accomplish this.

Python 80
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Natural Language Processing with R

Heartbeat

The first section of this article will look at the various languages that can be used for NLP, and the second section will focus on five NLP packages available in the R language. In this article, we’ll look at a few of the languages used for NLP tasks and dive into a Twitter NLP task with R.

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From Development to Deployment of an AI Model Using Azure

Towards AI

Today, we’re going to discuss about the often overlooked but incredibly crucial aspect of Building ML models, i.e, Well, my friend, let me tell you — it’s all about taking your projects from the confines of your code editor to the real world. And for this task I am going to use the Telco Customer Churn Dataset from Kaggle.

Azure 96
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AI Assists with Reputation Management through Email Validation

Smart Data Collective

A growing number of companies are using AI technology to screen the Internet to find mentions of their company and address anything that doesn’t align with their desired brand image. However, there are other important reputation management techniques that use AI that don’t get as much attention.

AI 101
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Introduction to Pandas for Machine Learning

How to Learn Machine Learning

It is used by us, almighty data scientists and analysts to work with large datasets, perform complex operations, and create powerful data visualizations. The name “Pandas” is derived from the term “panel data”, which refers to multi-dimensional data sets that are commonly used in econometrics.

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Gaining a sense of control over the COVID-19 pandemic | A Winner’s Interview with Daniel Wolffram

Kaggle

Daniel, tell us a bit about yourself. Right now, I’m working on the German COVID-19 forecast hub and writing my master thesis about building and evaluating forecast ensembles for COVID-19 death counts. What machine learning methods did you use? He had a score of 0.9, Let’s meet Daniel! That’s quite relevant!