AWS Machine Learning Blog

NOVEMBER 17, 2023

The following code snippet demonstrates how to call the Amazon Rekognition DetectModerationLabel API to moderate images within an AWS Lambda function using the Python Boto3 library: import boto3 # Initialize the Amazon Rekognition client object rekognition = boto3.client('rekognition') For more detailed information, refer to the GitHub repo.

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Towards AI

MAY 5, 2025

system architectures) Spatial relationships in maps or layouts A purely text-based approach fails to capture this crucial layer of information. Flash Try Gemini on Google AI Studio 💻 System Requirements: Python 3.8+ portfolio allocations) Trend visualizations in line graphs (e.g., resize((512, 512)).tobytes().hex()

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

Additionally, to kill the training job to simulate a job failure, you can take the process id (PID) of any of the python processes running. The Python processes are the training job processes running your FSDP training job. In the meantime, you can get the output of the slurmctld.log file using the following command.

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Snorkel AI

MAY 3, 2023

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models.

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Snorkel AI

MAY 3, 2023

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models.

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Pickl AI

DECEMBER 9, 2024

Advanced-Level Interview Questions Advanced-level Big Data interview questions test your expertise in solving complex challenges, optimising workflows, and understanding distributed systems deeply. These questions often focus on advanced frameworks, system architectures, and performance-tuning techniques.

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Pickl AI

DECEMBER 4, 2023

Python, R), Machine Learning, statistical modelling, Data Visualisation Pursue advanced degrees, participate in hackathons, and build a strong online presence by sharing projects on platforms like GitHub. Data Architect Designs and creates data systems and structures for optimal organisation and retrieval of information.

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The MLOps Blog

APRIL 17, 2023

This, in practice, means you can have a library (preferably Python) do the heavy lifting of communicating with the backend servers for logging and querying data. Once you understand your backend architecture, you can also follow domain-driven design principles to build a frontend architecture.

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AWS Machine Learning Blog

APRIL 14, 2025

Nodes Python functions that encode the logic of your agents. Edges Python functions that determine which Node to execute next based on the current state. Stateful architecture Support for stateful and adaptive agents within a graph-based architecture enables more sophisticated behaviors and interactions.

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Flipboard

JANUARY 15, 2025

The detailed implementation of the node time series regression model can be found in the Python file. System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier.

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AWS Machine Learning Blog

APRIL 2, 2025

They require efficient systems for distributing workloads across multiple GPU accelerated servers, and optimizing developer velocity as well as performance. Ray is an open source framework that makes it straightforward to create, deploy, and optimize distributed Python jobs. We primarily focus on ML training use cases. The fsdp-ray.py

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ODSC - Open Data Science

MARCH 31, 2025

Agentic AI in Action: Build Autonomous Multi-Agent Systems (Hands-On inPython) Edward Donner, Co-founder and CTO of Nebula.io Jon Krohn, Host of the SuperDataScience podcast Get your hands dirty by building autonomous, multi-agent systems in Python during this practical, code-first session.

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