ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. This could be achieved through the use of a NoSQL data model, such as document or key-value stores.

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phData

OCTOBER 27, 2023

Setup The demo is available in this repo. Creating an end-to-end feature platform with an offline data store, online data store, feature store, and feature pipeline requires a bit of initial setup. Creating the Feature Store This demo uses Feast as the feature store, Snowflake as the offline store, and Redis as the online store.

Machine Learning 52

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Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API.

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Tableau

DECEMBER 1, 2021

I did not realize as Chris demoed his prototype PhD system that it would become Tableau Desktop , a product used today by millions of people around the world to see and understand data, including in Fortune 500 companies, classrooms, and nonprofit organizations. Relationships in Tableau 2020.2 (May Beginning in Tableau 2020.2,

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AWS Machine Learning Blog

MAY 31, 2024

For this example, we created a bucket with versioning enabled with the name bedrock-kb-demo-gdpr. Select the uploaded file and from Actions dropdown and choose the Query with S3 Select option to query the.csv data using SQL if the data was loaded correctly. After you create the bucket, upload the.csv file to the bucket.

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Alation

SEPTEMBER 7, 2021

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. In Summary.

Data Governance 59

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Mlearning.ai

AUGUST 18, 2023

MLOps cover all of the rest, how to track your experiments, how to share your work, how to version your models etc (Full list in the previous post. ). Also same expertise rule applies for an ML engineer, the more versed you are in MLOps the better you can foresee issues, fix data/model bugs and be a valued team member.

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Flipboard

MARCH 23, 2023

While it is still very large, it is significantly smaller than models like GPT-3 while offering similar performance. Bard Google’s code name for its chat-oriented search engine, based on their LaMDA model, and only demoed once in public. The real tests will come when these models are connected to critical systems.

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The MLOps Blog

JUNE 27, 2023

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? It enables data scientists to log, compare, and visualize experiments, track code, hyperparameters, metrics, and outputs.

Machine Learning 134

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phData

NOVEMBER 13, 2023

If you want to know more about data mesh, check out these links: What is dbt Mesh & How to Adopt It dbt Labs’ Perspective on Data Mesh How we build our dbt Mesh Projects Data Mesh Architecture: How did we get here? What are the four principles of data mesh?

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The MLOps Blog

OCTOBER 3, 2023

You see them all the time with a headline like: “data science, machine learning, Java, Python, SQL, or blockchain, computer vision.” We’re assuming that data scientists, for the most part, don’t want to write transformations elsewhere. For instance, to allow automatic or semi-automatic retraining of models.

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