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Extract-Transform-Load in Elasticsearch and Python

Analytics Vidhya

Key takeaways of connecting and working with Elasticsearch-Python interfaces for high data volumes on ETL processes. When we’re designing an enterprise-level solution, one specific layer we take…

Extract & Load, Transform, Learn, and Serve — Getting Value from Data

Towards Data Science

Every company wants to deliver high-value data insights, but not every company is ready or able. Too often, they believe the marketing hype around point-and-click, no-code data connectors. Just set…

Inferencing the Transformer Model

MachineLearningMastery.com

Last Updated on January 6, 2023 We have seen how to train the Transformer model on a dataset of English and German sentence pairs and how to plot the training and validation loss curves to diagnose th...

Understanding Transformers from Start to End — A Step-by-Step Math Example

Level Up Coding

Transformer in NYC (created from phtofunia) Understanding Transformers from Start to End — A Step-by-Step Math Example I have already written a detailed blog on how transformers work using a very smal...

A Friendly Introduction to ETL (Extract, Transform, Load) Process in Data Engineering with Python

Python in Plain English

What is ETL (Extract, Transform, and Load) ETL stands for Extract, Transform, and Load. It’s a three-step process in data engineering that helps move data from its source to a target system. Let’s bre...

Transformers: How Do They Transform Your Data?

Towards Data Science

Diving into the Transformers architecture and what makes them unbeatable at language tasks Image by the author In the rapidly evolving landscape of artificial intelligence and machine learning, one i...

Extract Transform Load (ETL) for Books to Scrape

Analytics Vidhya

Web scraping is the process of extracting data from websites. All the job is carried out by a piece of code which is called a “scraper”. First, it sends a “GET” query to a specific website. Then, it…

How to Create and Train a Multi-Task Transformer Model

Towards Data Science

While working on an AI chatbot project, I did a short review of the available companies that offer NLP models as a service. I was surprised by the cost that some providers charge for basic intent…

Training Transformer models using Pipeline Parallelism

PyTorch Tutorials

Define the model In this tutorial, we will split a Transformer model across two GPUs and use pipeline parallelism to train the model. The model is exactly the same model used in the Sequence-to-Sequen...

Transformer in CV

Towards Data Science

Transformer architecture has achieved state-of-the-art results in many NLP (Natural Language Processing) tasks. One of the main breakthroughs with the Transformer model could be the powerful GPT-3…

Pipeline and Custom Transformer with a Hands-On Case Study in Python

Towards Data Science

Pipelines in machine learning involve converting an end-to-end workflow into a set of codes to automate the entire data treatment and model development process. We can use pipelines to sequentially…

Extracting and Transforming Data in Python

Towards Data Science

It is important to be able to extract, filter, and transform data from DataFrames in order to drill into the data that really matters. The pandas library has many techniques that make this process…