ODSC - Open Data Science

FEBRUARY 2, 2023

Big Data As datasets become larger and more complex, knowing how to work with them will be key. Big data isn’t an abstract concept anymore, as so much data comes from social media, healthcare data, and customer records, so knowing how to parse all of that is needed.

Data Science 98

Data Science Data Scientist Big Data Machine Learning 98

AWS Machine Learning Blog

JUNE 19, 2024

On the app details page, choose Basic Information in the navigation pane. On the Basic Information page, Bots and Permissions should now both have a green check mark. For more information about requesting model access, see Model access. After you create the app, you can configure its permissions. j2-ultra-v1 (Jurassic-2 Ultra).For

ML Engineer 94

ML Engineer Generative AI Big Data ML 94

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. AI engineers usually work in an office environment as part of a team.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

OCTOBER 20, 2023

Data scientists search and pull features from the central feature store catalog, build models through experiments, and select the best model for promotion. Data scientists create and share new features into the central feature store catalog for reuse.

ML 119

ML Data Scientist ML Engineer Data Science 119

Pickl AI

NOVEMBER 28, 2024

Fundamental Programming Skills Strong programming skills are essential for success in ML. This section will highlight the critical programming languages and concepts ML engineers should master, including Python, R , and C++, and an understanding of data structures and algorithms. during the forecast period.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

AWS Machine Learning Blog

JUNE 3, 2024

Use the chat feature for exploratory analysis and building transformations Before you use the chat feature to prepare data, note the following: Chat for data prep requires the AmazonSageMakerCanvasAIServicesAccess policy. For more information, see AWS managed policy: AmazonSageMakerCanvasAIServicesAccess. Choose Create.

Generative AI 107

Generative AI Categorization Auto-complete Auto-classification 107

AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

ML 122

ML Machine Learning ML Engineer Data Scientist 122

AWS Machine Learning Blog

AUGUST 31, 2023

During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects. For more information about improving governance of your ML models, refer to Improve governance of your machine learning models with Amazon SageMaker.

ML 108

ML Data Scientist Machine Learning Data Science 108

Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. For more information on the Python programming course, connect with Pickl.AI In fact, Python finds multiple applications.

Python 97

Python DevOps Machine Learning Data Science 97

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

format(model_package_arn)) Design considerations for use case and model stage governance Use case and model stage governance is a construct to track governance information of a use case or model across various stages in its journey to production. About the authors Ram Vittal is a Principal ML Solutions Architect at AWS.

ML 87

ML Machine Learning Auto-complete Auto-classification 87

AWS Machine Learning Blog

FEBRUARY 28, 2024

Pre-built Athena data source connectors exist for data sources like Amazon CloudWatch Logs , Amazon DynamoDB , Amazon DocumentDB (with MongoDB compatibility) , and Amazon Relational Database Service (Amazon RDS), and JDBC-compliant relational data sources such MySQL, and PostgreSQL under the Apache 2.0

Metadata 125

Metadata LLM Generative AI NLP 125

AWS Machine Learning Blog

JANUARY 6, 2023

Jessie Danqing Cai, Associate Research Director, Big Data & Analytics Practice, IDC Asia/Pacific. Finally, SageMaker launched support for geospatial ML , allowing data scientists and ML engineers to easily build, train, and deploy ML models using geospatial data.

Data Scientist 79

Data Scientist ML Machine Learning Explainability 79

AWS Machine Learning Blog

OCTOBER 2, 2024

This is particularly useful for tracking access to sensitive resources such as personally identifiable information (PII), model updates, and other critical activities, enabling enterprises to maintain a robust audit trail and compliance. For more information, see Monitor Amazon Bedrock with Amazon CloudWatch.

Generative AI 113

Generative AI Data Ingestion AI AI 113

AWS Machine Learning Blog

FEBRUARY 7, 2025

Usually, there is one lead data scientist for a data science group in a business unit, such as marketing. Data scientists Perform data analysis, model development, model evaluation, and registering the models in a model registry. ML engineers Develop model deployment pipelines and control the model deployment processes.

ML 62

ML Data Scientist ML Engineer Data Science 62

AWS Machine Learning Blog

FEBRUARY 29, 2024

Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax. The following are the key benefits of this solution: Automation – The entire ML workflow, from data preprocessing to model registry, is orchestrated with no manual intervention.

Automation 109

Automation Python Machine Learning ML 109

AWS Machine Learning Blog

APRIL 11, 2023

The networking architecture has been designed using the following patterns: Centralizing VPC endpoints with Transit Gateway Associating a transit gateway across accounts Privately access a central AWS service endpoint from multiple VPCs Let’s look at the two main architecture components, the information flow and network flow, in more detail.

IDP 79

IDP Explainability Big Data ML 79

DataRobot Blog

SEPTEMBER 13, 2022

Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? What Do Data Scientists Do? Data scientists drive business outcomes. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data.

Data Scientist 52

Data Scientist Automation ML Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Can you debug system information? Your data team can manage large-scale, structured, and unstructured data with high performance and durability.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 30, 2023

Although tallying the total number of saves a goalkeeper makes during a match can be informative, it doesn’t account for variations in the difficulty of the shots faced. How Keeper Efficiency is implemented This Bundesliga Match Fact consumes both event and positional data.

Machine Learning 80

Machine Learning Data Scientist ML Data Science 80

Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Flipboard

MARCH 7, 2023

For more information, see Use Amazon SageMaker Studio Notebooks.) Because of this difference, there are some specifics of how you create and manage virtual environments in Studio notebooks , for example usage of Conda environments or persistence of ML development environments between kernel restarts.

Python 123

Python Data Science Data Scientist ML 123

Pickl AI

JUNE 6, 2024

Overview Did you know that dirty data costs businesses in the US an estimated $3.1 In today’s data-driven world, information is not just king; it’s the entire kingdom. Imagine a library where books are missing pages, contain typos and are filed haphazardly – that’s essentially what dirty data is like.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

AWS Machine Learning Blog

AUGUST 31, 2023

During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects. For more information about improving governance of your ML models, refer to Improve governance of your machine learning models with Amazon SageMaker.

ML 52

ML Data Scientist Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 19, 2023

In a real-world scenario, features related to cardholder spending patterns would only form part of the model’s feature set, and we can include information about the merchant, the cardholder, the device used to make the payment, and any other data that may be relevant to detecting fraud. This dataset contains 5.4

ML 87

ML Data Scientist Big Data Machine Learning 87

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

We thought we’d structure this more as a conversation where we walk you through some of our thinking around some of the most common themes in data centricity in applied AI. Is more data always better? And the important thing here is really the predictive signal in the data. Maybe I’ll start us off here Robert?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

AWS Machine Learning Blog

JANUARY 26, 2024

Being aware of risks fosters transparency and trust in generative AI applications, encourages increased observability, helps to meet compliance requirements, and facilitates informed decision-making by leaders. You might also find benefit in understanding your overall cloud readiness by participating in an AWS Cloud Readiness Assessment.

Generative AI 135

Generative AI ML LLM AI 135

AWS Machine Learning Blog

SEPTEMBER 26, 2024

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. Vijay Velpula is a Data Architect with AWS Professional Services.

ML 106

ML ML Engineer Data Scientist Big Data 106

The MLOps Blog

AUGUST 11, 2023

Getting a workflow ready which takes your data from its raw form to predictions while maintaining responsiveness and flexibility is the real deal. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52

Snorkel AI

MAY 24, 2023

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He is also a founding member of the Data for Good Exchange (D4GX).

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

Snorkel AI

MAY 24, 2023

Gideon Mann is the head of the ML Product and Research team in the Office of the CTO at Bloomberg LP. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data. He is also a founding member of the Data for Good Exchange (D4GX).

Machine Learning 52

Machine Learning Data Scientist Computer Vision ML 52

Flipboard

NOVEMBER 27, 2024

Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitate efficient and accurate search of enterprise data assets that can adapt to the arrival of new assets.

Metadata 149

Metadata Auto-complete Data Discovery ML Engineer 149

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. Create an ML project to create a model for the ML use case.

Metadata 100

Metadata ML Software Engineer Machine Learning 100

AWS Machine Learning Blog

DECEMBER 17, 2024

The TUI content teams are tasked with producing high-quality content for its websites, including product details, hotel information, and travel guides, often using descriptions written by hotel and third-party partners. For more information, refer to Fine-tune Llama 2 for text generation on Amazon SageMaker Jumpstart.

LLM 89

LLM Prompt Engineer Prompt Engineering Generative AI 89