KDnuggets

JULY 15, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. It may also be sent directly to dashboards, APIs, or ML models.

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KDnuggets

JUNE 11, 2025

Read the original article at Turing Post , the newsletter for over 90 000 professionals who are serious about AI and ML. By, Avi Chawla - highly passionate about approaching and explaining data science problems with intuition.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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KDnuggets

JUNE 23, 2025

Managing ML projects without MLFlow is challenging. MLFlow Projects MLflow Projects enable reproducibility and portability by standardizing the structure of ML code. A project contains: Source code : The Python scripts or notebooks for training and evaluation. It supports scalability and works with popular ML libraries.

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AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. We show you how to use the ModelTrainer class to train your ML models, which includes executing distributed training using a custom script or container.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Panic set in as we realized we would be competing on stage in front of thousands of people while knowing little about ML.

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databricks

JULY 15, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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Flipboard

JULY 1, 2025

Awesome Python: The Ultimate Python Resource List Link: vinta/awesome-python Here is a comprehensive list of Python frameworks, libraries, software, and resources that have been around for at least 10 years and are still actively maintained.

Data Science 171

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AWS Machine Learning Blog

DECEMBER 12, 2024

In Part 1 of this series, we introduced the newly launched ModelTrainer class on the Amazon SageMaker Python SDK and its benefits, and showed you how to fine-tune a Meta Llama 3.1 The recent update enhances usability of the ModelBuilder class for a wide range of use cases, particularly in the rapidly evolving field of generative AI.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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AWS Machine Learning Blog

OCTOBER 15, 2024

We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. With SageMaker Core, managing ML workloads on SageMaker becomes simpler and more efficient. or greater is installed in the environment.

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Flipboard

JULY 18, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter What Does Python’s __slots__ Actually Do? What is __slots__ in Python?

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Data Science Natural Language Processing Python Machine Learning 148

KDnuggets

JULY 23, 2025

Google Vertex AI, like Gemini. For example, here is the Python code to use Google’s Gemini model with LiteLLM. With modest resources required for Python library installation, we can run LiteLLM on our local laptop or host it in a containerized deployment with Docker without a need for complex additional configuration.

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Data Science Dojo

OCTOBER 31, 2024

According to Google AI, they work on projects that may not have immediate commercial applications but push the boundaries of AI research. With the continuous growth in AI, demand for remote data science jobs is set to rise. Specialists in this role help organizations ensure compliance with regulations and ethical standards.

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Flipboard

JULY 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Ways to Transition Into AI from a Non-Tech Background You have a non-tech background?

Machine Learning 146

Machine Learning Machine Learning Natural Language Processing Data Science 146

phData

JULY 25, 2025

As datasets grow and the need for machine learning (ML) solutions expands, scaling ML pipelines presents increasing complexities. Snowflake AI Data Cloud addresses these challenges by providing ML Objects on its unified platform, allowing ML workflows to scale efficiently.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.

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AWS Machine Learning Blog

DECEMBER 16, 2024

In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI , using advanced SageMaker AI features for optimal performance and cost management. 405B by less than 2% in 6 out of 10 standard AI benchmarks and actually outperforming it in three categories. Overview of the Llama 3.3 70B model Llama 3.3

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Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

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Flipboard

JUNE 30, 2025

Publish AI, ML & data-science insights to a global community of data professionals. In 2018-ish, when I took my first university courses on classic machine learning, behind the scenes, key methods were already being developed that would lead to AI’s boom in the early 2020s. You want to train ML models.

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Machine Learning Machine Learning Data Science ML 142

AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

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AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. He focuses on architecting and implementing large-scale generative AI and classic ML pipeline solutions.

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Flipboard

DECEMBER 2, 2024

As the AI landscape continues to evolve and models grow even larger, innovations like Fast Model Loader become increasingly crucial. We explore two approaches: using the SageMaker Python SDK for programmatic implementation, and using the Amazon SageMaker Studio UI for a more visual, interactive experience.

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Flipboard

JUNE 16, 2025

The world’s leading publication for data science, AI, and ML professionals. In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. Want to build your AI skills?

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

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Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. To address these challenges, AWS has expanded Amazon SageMaker with a comprehensive set of data, analytics, and generative AI capabilities.

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Flipboard

JULY 17, 2025

Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI , enabling models to retrieve relevant information from enterprise knowledge bases before responding. Use built-in LLM-based generative AI metrics such as correctness and relevance to assess output quality.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

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Flipboard

JULY 8, 2025

Publish AI, ML & data-science insights to a global community of data professionals. But when it comes to sharing your work or letting others interact with your models, the gap between a Python script and a usable web app can feel enormous. Full disclosure: the author is affiliated with Intel.)

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Machine Learning Machine Learning Data Science Python 111

AWS Machine Learning Blog

OCTOBER 28, 2024

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production.

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AWS Machine Learning Blog

JULY 11, 2025

Fraud detection remains a significant challenge in the financial industry, requiring advanced machine learning (ML) techniques to detect fraudulent patterns while maintaining compliance with strict privacy regulations. Institutions can continuously improve their models based on the latest fraud patterns without requiring manual updates.

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AWS Machine Learning Blog

OCTOBER 18, 2024

In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. After fine-tuning, we show you how to optimize the model with Qualcomm AI Hub so that it’s ready for deployment across edge devices powered by Snapdragon and Qualcomm platforms.

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AWS Machine Learning Blog

JUNE 26, 2025

Fortunately, AWS uses powerful AI/ML applications within Amazon SageMaker AI that can address these needs. Using SageMaker AI, we train an RCF model specifically for detecting anomalies in complex spacecraft dynamics data. It starts in the JupyterLab notebook, where we train an RCF model using SageMaker AI.

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Towards AI

JANUARY 29, 2025

Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.

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Flipboard

JULY 15, 2025

As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’ interest in using public generative AI assistants. However, this growing reliance on public generative AI tools quickly raised red flags for our Information Security (Infosec) team.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Multiple programming language support – The GitHub repository provides the observability solution in both Python and Node.js

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