Data Science Dojo

MAY 3, 2023

Most Data Science enthusiasts know how to write queries and fetch data from SQL but find they may find the concept of indexing to be intimidating. Using the “Top Spotify songs from 2010-2019” dataset on Kaggle ( [link] ), we read it into a Python – Pandas Data Frame.

Python 369

Python Clustering SQL Data Science 369

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. But how can we implement and integrate this approach to an LLM-based conversational AI?

SQL 126

SQL AWS Analytics Analytics 126

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Engineers must manually write custom data preprocessing and aggregation logic in Python or Spark for each use case. For this post, we refer to the following notebook , which demonstrates how to get started with Feature Processor using the SageMaker Python SDK. Take the average of price to create avg_price.

ML 125

ML ML AWS SQL 125

phData

NOVEMBER 8, 2023

The OAuth framework was initially created and supported by Twitter, Google, and a few other companies in 2010 and subsequently underwent a substantial revision to OAuth 2.0 Snowflake provides many mechanisms to access their service including: Browser SnowSQL Python Connector JDBC/ODBC Driver.NET Snowflake has some limitations with SAML.

SQL 52

SQL Azure Data Engineering Data Engineering 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

It uses the LLM’s ability to write Python code for data analysis. The way these agents work is that they use an LLM to generate Python code, execute the code, and send the result of the code back to the LLM to generate a final response. and the tool’s response.

Python 106

Python Machine Learning Machine Learning AI 106