Mlearning.ai

MAY 15, 2023

So, pandas is a library which helps with performing data ingestion and transformations. Pandas Code For this example, I have taken the supermart grocery sales dataset which contains information about products, sales, discount, profit etc. apply(lambda x: x.year) df.groupby('year')['Sales'].mean()

Data Science 52

Data Science Machine Learning Machine Learning AI 52

Ocean Protocol

APRIL 13, 2023

is a Python library to privately & securely publish, exchange, and consume data, using Ocean Protocol. We pick up where part 2 & 3 left off, and walk you through the main flow: In this post, you’ll publish a data asset, post for free / for sale, dispense it / buy it, and consume it. Introduction ocean.py Who the f is Alice?

Python 59

Python 59

AWS Machine Learning Blog

MARCH 6, 2023

Parallelism – Your choice of distributed training library is crucial for appropriate use of the GPUs. We recommend using a cloud-optimized library, such as SageMaker sharded data parallelism, but self-managed and open-source libraries can also work. Popular examples of such data sources include Common Crawl and The Pile.

AWS 78

AWS Clustering ML ML 78

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Integration with Amazon SageMaker JumpStart : The AWS Lambda function uses the LangChain library and connects to the Amazon SageMaker JumpStart endpoint with a context-stuffed query. A loyal customer base helps drive sales, which contributes to the bottom line and increases customer engagement.

AWS 94

AWS AI AI Data Silos 94

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AWS Machine Learning Blog

NOVEMBER 30, 2023

configuring distributed training libraries, scaling training workloads across thousands of accelerators, detecting and repairing faulty instances), speeding up training by as much as 40%. adidas is enabling developers to get quick answers on everything from “getting started” info to deeper technical questions.

AWS 125

AWS AI AI ML 125

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