Data Science Dojo

MAY 3, 2023

Using the “Top Spotify songs from 2010-2019” dataset on Kaggle ( [link] ), we read it into a Python – Pandas Data Frame. Clustered Indexes : have ordered files and built on non-unique columns. You may only build a single Primary or Clustered index on a table.

Python 369

Python Clustering SQL Data Science 369

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

AWS 113

AWS ML ML Clustering 113

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.

ML 125

ML ML AWS SQL 125

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. He currently is working on Generative AI for data integration.

Database 158

Database AWS ETL SQL 158

Mlearning.ai

JANUARY 31, 2023

In particular, my code is based on rospy, which, as you might guess, is a python package allowing you to write code to interact with ROS. It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. I then trained the SVM on this dataset. in both metrics.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52