AWS Machine Learning Blog

AUGUST 26, 2024

MMPose is a member of the OpenMMLab Project and contains a rich set of algorithms for 2D multi-person human pose estimation, 2D hand pose estimation, 2D face landmark detection, and 133 keypoint whole-body human pose estimations. This instance will be used for various tasks such as video processing and data preparation.

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed.

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AWS Machine Learning Blog

OCTOBER 8, 2024

SageMaker AutoMLV2 is part of the SageMaker Autopilot suite, which automates the end-to-end machine learning workflow from data preparation to model deployment. Data preparation The foundation of any machine learning project is data preparation.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

Solution overview In this solution, we start with data preparation, where the raw datasets can be stored in an Amazon Simple Storage Service (Amazon S3) bucket. We provide a Jupyter notebook to preprocess the raw data and use the Amazon Titan Multimodal Embeddings model to convert the image and text into embedding vectors.

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DataRobot Blog

FEBRUARY 15, 2023

The demo from the session highlights unique and differentiated capabilities that empower all users—from the analysts to the data scientists and even the person at the end of the journey who just needs to access an instant price estimate. After setting up your project, you can get started.

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Towards AI

JANUARY 31, 2023

I then decide to build a machine learning algorithm that is capable of naming some Yoruba traditional textiles which are Ankara, Aso oke, Atiku, and lace textiles using their images. Here is a quick demo of how it works Let's now dive deep into how I went about the project. Sounds cool, right? Sure, it does.

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Tableau

FEBRUARY 22, 2021

There are no black box algorithms used here, ensuring safe AI and control in the hands of business experts. Relevant predictions are also integrated in Tableau Prep Builder, offering insights during data preparation and giving people the power to write ML predictions (scores) directly into their data sets.

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

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Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. It won’t be a long demo, it’ll be a very quick demo of what you can do and how you can operationalize stuff in Snowflake. And finally, you’ll see that in action today. I don’t have a lot of time, so we’ll jump into it.

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The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

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Iguazio

FEBRUARY 8, 2024

Activities include managing data, selecting algorithms, training models, and evaluating their performance. What’s in store for LLMOps and how can data professionals prepare? MLRun automates various stages of the ML lifecycle, such as data preparation, model training and deployment. How Does MLOps Work?

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DagsHub

MAY 27, 2024

Source: [link] Data annotation involves labeling data points, such as images or text, with relevant information, enabling the algorithms to learn and make sense of the patterns within the data. It offers a user-friendly interface and support for annotating various data types including images, text, and videos.

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Dataconomy

MAY 14, 2025

AI-ready data comes with comprehensive metadata (schema, definitions) to be understandable by humans and AI alike, it maintains a consistent format across historical and real-time streams, and it includes governance/lineage to ensure accuracy and trust. In short, its analytics-grade data prepared for AI.

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The MLOps Blog

MAY 9, 2023

Elements of a machine learning pipeline Some pipelines will provide high-level abstractions for these components through three elements: Transformer : an algorithm able to transform one dataset into another. Estimator : an algorithm trained on a dataset to produce a transformer. Data preprocessing. Model deployment. Kale v0.7.0.

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Flipboard

NOVEMBER 21, 2024

We use Amazon SageMaker Pipelines , which helps automate the different steps, including data preparation, fine-tuning, and creating the model. This configuration acts as a guide, helping SageMaker Autopilot understand the nature of your problem and select the most appropriate algorithm or approach.

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Data Science Dojo

APRIL 3, 2025

You can also read about algorithmic biases and their challenges in fair AI A Strategic Partnership: Databricks and Securitis Gencore AI In the face of these challenges, enterprises strive to balance innovation with security and compliance. This is where the Databricks and Securiti partnership creates a game-changing opportunity.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Solution overview The chess demo uses a broad spectrum of AWS services to create an interactive and engaging gaming experience. The following architecture diagram illustrates the service integration and data flow in the demo. The demo offers a few gameplay options.

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ODSC - Open Data Science

MARCH 18, 2025

Sinan Ozdemir, AI & LLM Expert | Author | Founder + CTO of LoopGenius A former Director of Data Science at Directly and AI advisor to Tola Capital, he brings deep expertise in LLMs, machine learning, and algorithm development.

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