TransOrg Analytics

SEPTEMBER 24, 2024

AWS Data Exchange: Access third-party datasets directly within AWS. Data & ML/LLM Ops on AWS Amazon SageMaker: Comprehensive ML service to build, train, and deploy models at scale. Amazon EMR: Managed big data service to process large datasets quickly. Snowpark: Native support for data engineering and ML workflows.

ETL 52

ETL LLM Data Ingestion Automation 52

Pickl AI

JUNE 12, 2023

Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms. This helps in understanding the underlying patterns, trends, and relationships within the data. You can further, use Tableau’s drag-and-drop functionality to create insightful visualizations.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

Pickl AI

APRIL 26, 2024

I would first perform exploratory data analysis to understand the data distribution and identify potential patterns or insights. Then, I would use sampling techniques or employ big data processing tools like Apache Spark to analyse the large dataset efficiently. How do you handle large datasets in Python?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

The MLOps Blog

MARCH 15, 2023

Dagster Supports end-to-end data management lifecycle. Its software-defined assets (announced through Rebundling the Data Platform ) and built-in lineage make it an appealing tool for developers. Seamless integration with many data sources and destinations. Uses secure protocols for data security.

Categorization 59

Categorization ETL Data Integration Automation 59

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

AUGUST 3, 2023

Aamna Najmi is a Data Scientist with AWS Professional Services. She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. In her spare time, she enjoys gardening and traveling to new places.

Computer Vision 73

Computer Vision Data Scientist ML Deep Learning 73

Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Data Science relies on a wide array of tools and techniques to process and analyze large datasets. Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. Data Scientists require a robust technical foundation. Masters or Ph.D.

Data Science 52

Data Science Data Scientist Machine Learning Algorithm 52