ODSC - Open Data Science

AUGUST 31, 2023

Visualization for Clustering Methods Clustering methods are a big part of data science, and here’s a primer on how you can visualize them. When choosing a data structure, it may benefit you to see which has all the components of the CAP theorem and which best suits your needs. Drowning in Data? Professor Mark A.

Clustering 98

Clustering Data Lakes Data Science Artificial Intelligence 98

phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

How to Learn Machine Learning

MAY 2, 2025

Compute Resources : Azure ML provides scalable compute options like training clusters, inference clusters, and compute instances that can be automatically scaled based on workload demands. Implement Data Versioning : Track data versions to ensure reproducibility of your experiments and models. Awesome, right?

Azure 52

Azure Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

AUGUST 15, 2024

You need data engineering expertise and time to develop the proper scripts and pipelines to wrangle, clean, and transform data. Afterward, you need to manage complex clusters to process and train your ML models over these large-scale datasets. He wrote a book on AWS FinOps, and enjoys reading and building solutions.

ML 124

ML ML Data Preparation AWS 124

O'Reilly Media

OCTOBER 19, 2021

Adapted from the book Effective Data Science Infrastructure. Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses.

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ML ML Data Scientist AWS 145

Snorkel AI

MARCH 26, 2024

Snorkel Flow’s programmatic labeling process starts with labeling functions—essentially programmable rules to label data. Snorkel Flow users can build labeling functions according to various data features—from continuous variable thresholds to vector embedding clusters. Book a demo today.

Machine Learning 52

Machine Learning Machine Learning Data Lakes Data Science 52

ODSC - Open Data Science

JULY 11, 2023

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Not a cloud computer?

Data Lakes 40

Data Lakes AI Cloud Computing AI 40