2012, Data Quality and ML - Data Science Current

Create a data labeling project with Amazon SageMaker Ground Truth Plus

AWS Machine Learning Blog

OCTOBER 15, 2024

In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative AI use cases, enabling the generation of high-quality training data for artificial intelligence and machine learning (AI/ML) models. To learn more, see Use Amazon SageMaker Ground Truth Plus to Label Data.

AWS

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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

Machine Learning

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning Blog

AUGUST 4, 2023

If you are a returning user to SageMaker Studio, in order to ensure Salesforce Data Cloud is enabled, upgrade to the latest Jupyter and SageMaker Data Wrangler kernels. This completes the setup to enable data access from Salesforce Data Cloud to SageMaker Studio to build AI and machine learning (ML) models.

ML

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Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning Blog

MAY 1, 2025

These optimizations are automatically applied, allowing you to focus on data quality and the configurable parameters while benefiting from our research-backed tuning strategies. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. 11B and Meta Llama 3.2

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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

FEBRUARY 28, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

Data Science

Data Science Machine Learning Machine Learning AI

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning Blog

JULY 10, 2024

Generally, as the size of the high-quality training data increases, you can expect to achieve better performance from the fine-tuned model. However, it’s essential to maintain a focus on data quality, because a large but low-quality dataset may not yield the desired improvements in the fine-tuned model performance.

AWS

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Data Analytics Trend Report 2023 – How to Stay Ahead of the Game

Pickl AI

APRIL 27, 2023

AI and machine learning (ML) technologies enable businesses to analyze unstructured data. AI and ML technologies work cohesively with data analytics and business intelligence (BI) tools. Hockey Stick Growth in the Demand for Data Experts It is one of the most reforming changes coming in the industry.

Analytics

Analytics Analytics Data Science Artificial Intelligence

A Guide to Convolutional Neural Networks

Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. Data Preprocessing : The data quality used to train a CNN is critical to its performance. It is critical to preprocess the data before it is fed into the network.

Natural Language Processing

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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

APRIL 25, 2023

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). It’s the data quality.

Machine Learning

Machine Learning Machine Learning ML ML

Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

APRIL 25, 2023

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning). It’s the data quality.

Machine Learning

Machine Learning Machine Learning ML ML

Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

AWS Machine Learning Blog

OCTOBER 24, 2024

The benefits of this solution are: You can flexibly achieve data cleaning, sanitizing, and data quality management in addition to chunking and embedding. You can build and manage an incremental data pipeline to update embeddings on Vectorstore at scale. You can choose a wide variety of embedding models.

AWS

AWS Data Pipeline Database Big Data

Data Science Current

Create a data labeling project with Amazon SageMaker Ground Truth Plus

Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

Webinars

Trending Sources

Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

Webinars

Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

16 Companies Leading the Way in AI and Data Science

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

Data Analytics Trend Report 2023 – How to Stay Ahead of the Game

A Guide to Convolutional Neural Networks

Harvard professor: DataPerf and AI’s need for data benchmarks

Harvard professor: DataPerf and AI’s need for data benchmarks

Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark

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