Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

AUGUST 2, 2024

Marcos Fernández Díaz is a Senior Data Scientist at Keepler, with 10 years of experience developing end-to-end machine learning solutions for different clients and domains, including predictive maintenance, time series forecasting, image classification, object detection, industrial process optimization, and federated machine learning.

AWS 128

AWS Machine Learning Machine Learning Database 128

AWS Machine Learning Blog

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. Amazon Comprehend training workflow To start the training the Amazon Comprehend model, we need to prepare the training data.

ML 90

ML ML AWS Machine Learning 90

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Sentiment analysis focuses on discerning the emotions and attitudes expressed in textual data, such as social media posts, product reviews, customer feedback, and online comments.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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AI AI ML ML 127

IBM Journey to AI blog

JULY 17, 2023

This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

AI 74

AI AI Machine Learning Machine Learning 74

DagsHub

NOVEMBER 11, 2024

Social media conversations, comments, customer reviews, and image data are unstructured in nature and hold valuable insights, many of which are still being uncovered through advanced techniques like Natural Language Processing (NLP) and machine learning. This is where artificial intelligence steps in as a powerful ally.

AI 52

AI AI Data Lakes Database 52

phData

JUNE 26, 2023

Advanced Data Processing Capabilities KNIME provides a wide range of nodes for data extraction, transformation, and loading (ETL), but it also offers advanced data manipulation and processing capabilities. It’s a valuable tool for natural language processing tasks and sentiment analysis.

Tableau 52

Tableau Data Preparation Machine Learning Machine Learning 52

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. But improvements to the model, such as CDC ( change data capture ) processes, can have a huge impact on efficiency.

Data Governance 52

Data Governance ETL Machine Learning Machine Learning 52

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. What Is ThoughtSpot Used For?

Analytics 52

Analytics Analytics SQL ETL 52

AWS Machine Learning Blog

APRIL 16, 2024

You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs. However, it is essential to acknowledge the inherent differences between human language and SQL. In his free time, he enjoys playing chess and traveling.

SQL 127

SQL AWS Database Data Scientist 127

Pickl AI

MARCH 10, 2025

Power Query Power Query is a powerful ETL (Extract, Transform, Load) tool within Power BI that helps users clean and transform raw data into usable formats. Real-World Example A sales executive uses the mobile app during client meetings to showcase real-time sales figures and projections directly from their smartphone or tablet.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

phData

JUNE 7, 2023

DL is particularly effective in processing large amounts of unstructured data, such as images, audio, and text. Natural Language Processing (NLP) : NLP is a branch of AI that deals with the interaction between computers and human languages.

AI 59

AI AI Machine Learning Machine Learning 59

AWS Machine Learning Blog

JANUARY 20, 2023

For examples on using asynchronous inference with unstructured data such as computer vision and natural language processing (NLP), refer to Run computer vision inference on large videos with Amazon SageMaker asynchronous endpoints and Improve high-value research with Hugging Face and Amazon SageMaker asynchronous inference endpoints , respectively.

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AWS AI AI Computer Science 94

Mlearning.ai

FEBRUARY 9, 2023

During my MS, I got the opportunity to work on many types of data and ML projects, including web scraping to collect data, parsing big data, building unsupervised ML models, building supervised ML models, creating deep neural networks, working with text data using Natural Language Processing, and with speech data using audio processing techniques.

Data Scientist 52

Data Scientist ML ML Data Science 52

Pickl AI

DECEMBER 10, 2024

Automated Data Integration and ETL Tools The rise of no-code and low-code tools is transforming data integration and Extract, Transform, and Load (ETL) processes. These trends revolutionise decision-making processes, foster real-time insights, and enhance team collaboration. and receiving instant, actionable insights.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. But improvements to the model, such as CDC ( change data capture ) processes, can have a huge impact on efficiency.

Data Governance 40

Data Governance ETL Machine Learning Machine Learning 40

DagsHub

OCTOBER 23, 2024

Large Language Models We engineer LLMs like Gemini and GPT-4 to process and understand unstructured text data. They can generate human-like text, summarize documents, and answer questions, making them essential for natural language processing and text analytics tasks. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Kaggle

JULY 29, 2020

David: My technical background is in ETL, data extraction, data engineering and data analytics. I also have experience in building large-scale distributed text search and Natural Language Processing (NLP) systems. cord19q has the logic for ETL, building the embeddings index and running the custom BERT QA model.

ETL 71

ETL Data Scientist Data Science Machine Learning 71

AWS Machine Learning Blog

MARCH 27, 2025

Generative AI supports key use cases such as content creation, summarization, code generation, creative applications, data augmentation, natural language processing, scientific research, and many others. The same ETL workflows were running fine before the upgrade. This started occurring after upgrading to version 4.2.1.

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AWS ETL ML ML 112

AWS Machine Learning Blog

JANUARY 7, 2025

Traditional NLP pipelines and ML classification models Traditional natural language processing pipelines struggle with email complexity due to their reliance on rigid rules and poor handling of language variations, making them impractical for dynamic client communications.

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AWS AI AI ML 109

Dataconomy

MARCH 7, 2025

IBM Watson A pioneer in AI-driven analytics, IBM Watson transforms enterprise operations with natural language processing, machine learning, and predictive modeling. With automated chat flows and natural language processing , Drift helps businesses convert website visitors into customers through instant interactions.

AI 91

AI AI Machine Learning Machine Learning 91