Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence.

Data Science 60

Data Science Machine Learning Data Analysis Software Engineer 60

Marktechpost

JULY 17, 2023

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. Panoply Panoply is a cloud-based, intelligent end-to-end data management system that streamlines data from source to analysis without using ETL.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

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.

Generative AI 127

Generative AI Prompt Engineering Prompt Engineer ML 127

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 77

ML NLP Machine Learning ETL 77

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.

Data Scientist 118

Data Scientist Generative AI Machine Learning ML 118

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 52

Data Science Data Scientist Machine Learning Automation 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.

Explainable AI 52

Explainable AI Explainability ETL Automation 52

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 Data Science ML Machine Learning 52

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.

AI Modeling 82

AI Modeling Computer Vision AI AI 82

Artificial Corner

JUNE 6, 2023

It’s optimized with performance features like indexing, and customers have seen ETL workloads execute up to 48x faster. It helps data engineering teams by simplifying ETL development and management. Natural Language Processing (NLP) techniques can be applied to analyze and understand unstructured text data.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

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.

Generative AI 120

Generative AI LLM Machine Learning Data Scientist 120

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.

Business Intelligence 52

Business Intelligence ETL Data Analysis Natural Language Processing 52

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.

Generative AI 105

Generative AI Automation Data Extraction ETL 105