Tableau

JULY 20, 2022

Simplify user management with Azure Active Directory for Tableau Cloud. In Tableau Cloud, you can now configure automatic user and group management through Azure Active Directory. To learn more, read Configure SCIM with Azure Active Directory in Tableau Help. To learn more, read About Tableau Catalog in Tableau Help.

Tableau 89

Tableau Azure Analytics Analytics 89

Tableau

JULY 20, 2022

Simplify user management with Azure Active Directory for Tableau Cloud. In Tableau Cloud, you can now configure automatic user and group management through Azure Active Directory. To learn more, read Configure SCIM with Azure Active Directory in Tableau Help. To learn more, read About Tableau Catalog in Tableau Help.

Tableau 87

Tableau Azure Analytics Analytics 87

Towards AI

MARCH 3, 2024

Deploy the Docker image to your production environment (here Render, can be GCP, AWS, AZURE instance). Here, the username refers to your Docker Hub username, image-name is the name of your image, and tag is an optional version identifier for the image. Your app is live, accessible via a URL, and ready for its audience.

Data Science 106

Data Science Python Algorithm Azure 106

phData

OCTOBER 23, 2023

You’re gathering JSON data from different APIs and storing it in places like AWS S3, Azure ADLS Gen2, or Google Bucket. Alternatively, this can also be accomplished through a tagging approach, but it’s worth noting that this method presents its own set of challenges. Want to learn more about tags and their benefits?

Data Governance 52

Data Governance Python Data Classification Azure 52

Data Science 101

AUGUST 27, 2023

And I think ultimately MS is ok with this because they still make plenty of money in other ways (Windows, Office and Azure). So, first thing for someone starting out: go to GitHub and find some projects that use the “good first issue” tag on some of their issues. It opened up so much that had previously been off limits to developers (.NET

Azure 98

Azure SQL Database 98

Towards AI

JULY 20, 2023

Tasks it supports: Commonsense Reasoning Language Modeling Machine Translation Paraphrase Question Answering Sentiment Analysis Sequence Tagging Text Summarization tofunlp/lineflow LineFlow is a simple text dataset loader for NLP deep learning tasks. You can store images as big as 100k by 100k!

Deep Learning 84

Deep Learning Deep Learning Data Analysis Data Analysis 84

phData

DECEMBER 13, 2023

Example packages: - package: dbt-labs/snowplow version: 0.7.3 # version number Git Packages You can use the packages that are stored in a Git Server, and you can use either a branch, tagged release, or a specific commit (By providing the complete 40-character hash).

SQL 52

SQL Python Azure Data Modeling 52

Mlearning.ai

JUNE 1, 2023

Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. Hyperparameter tuning - To improve the current model, I would utilize hyperparameter tuning jobs using AWS/Azure, since they offer parallel runs and early stopping functionality.

Azure 52

Azure Deep Learning Deep Learning AWS 52

Hacker News

MARCH 25, 2022

Transformers use positional encoders to tag data elements coming in and out of the network. Attention units follow these tags, calculating a kind of algebraic map of how each element relates to the others. For its part, Microsoft Azure worked with NVIDIA to implement an MoE transformer for its Translator service.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

IBM Journey to AI blog

JANUARY 24, 2024

In planning, Turbonomic software takes the efficiencies of different hardware and depreciation schedules into account, plugging in tags to indicate when leases expire. Turbonomic planning helps organizations determine what hardware they can or should keep.

Clustering 66

Clustering Azure AWS AI 66

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Tulia Plumettaz, Director of Machine Learning, Wayfair – Diginomica “Snorkel AI’s new foundation model platform has the potential to significantly enhance how Azure customers build, fine-tune, and apply large language models across their business.

AI 145

AI AI Algorithm Azure 145

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Tulia Plumettaz, Director of Machine Learning, Wayfair – Diginomica “Snorkel AI’s new foundation model platform has the potential to significantly enhance how Azure customers build, fine-tune, and apply large language models across their business.

AI 141

AI AI Algorithm Azure 141

Mlearning.ai

FEBRUARY 17, 2023

It works with many platforms such as Databrick, Azure, and AWS. MLflow tracking steps Set where your run data is recorded (tracking URI) Create an experiment Start run Log parameters/metrics/artifacts, add tags Let’s see where your run data is recorded. Add tags to run. It can be scaled to big data. It is open-source.

Machine Learning 52

Machine Learning Machine Learning Python Database 52

ODSC - Open Data Science

JANUARY 29, 2024

Spacy: Another firm favorite, Spacy can be used for tokenization, part-of-speech tagging, and named entity recognition, aiding in structuring prompts accurately. While AWS is usually the winner when it comes to data science and machine learning, it’s Microsoft Azure that’s taking the lead for prompt engineering job descriptions.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

MAY 18, 2023

Configure optional encryption settings and tags. Enter optional tags. These details can be accessed on the App registrations page on the Azure portal, if the SharePoi­nt Online application is already registered. For Index name , enter a name for the index (for example, my-sharepoint-index ). Enter an optional description.

AWS 76

AWS Database ML ML 76

Mlearning.ai

APRIL 1, 2023

", ) my_training_data_test = Input( type=AssetTypes.MLTABLE, path=" /test/", description="Dataset for NASA Turbofan Testing", tags={"source_type": "web", "source": "Kaggle ML Repo"}, version="1.0.0", py38-cpu/versions/4 #azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:1

AI 40

AI AI Azure Clustering 40

Data Science 101

OCTOBER 12, 2023

“In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious. So you use a lot of the Azure tools in your job? ” — Lucas A. If so, which ones?

Azure 64

Azure Computer Science Computer Science Clustering 64

The MLOps Blog

MARCH 20, 2023

Tools such as AWS S3, Google Cloud Storage, and Microsoft Azure offer robust recovery solutions allowing data snapshots to be recovered at a specific time. Read more How to Version and Compare Datasets in neptune.ai Features / Considerations DVC MLflow Databricks Weights & Biases DagsHub neptune.ai

ML 59

ML ML Machine Learning Machine Learning 59

phData

JANUARY 19, 2024

Matillion is also built for scalability and future data demands, with support for cloud data platforms such as Snowflake Data Cloud , Databricks, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery, making it future-ready, everyone-ready, and AI-ready.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

Smart Data Collective

JUNE 4, 2021

Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure. Facebook and google photos identify people from images and recommend tags. Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Use cases of data science.

Data Science 105

Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Snorkel AI

MARCH 30, 2023

Sequence tagging experience upgrade. NER made easy with sequence tagging We’ve made significant performance improvements (up to 20x faster) for data-centric exploration and labeling when working with sequence tagging tasks. Programmatic labeling with support for complex tasks and data types. PDF extraction improvements.

ML 98

ML ML Supervised Learning Azure 98

Flipboard

MARCH 22, 2023

With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler. For Azure AD, you must also specify a unique identifier for the scope. In the Tags section, add a tag with the key SageMaker and value true. Choose Next. Choose Next.

AWS 100

AWS Data Preparation Azure ML 100

The MLOps Blog

NOVEMBER 30, 2022

Different tools: Your repository consists of multiple tools, libraries, and infrastructure providers like Azure, AWS, and GCP. DVC’s UI | Source: DVC Supports a wide range of storage systems including but not limited to Amazon S3, Azure Blob Storage, Google Drive, Google Cloud Storage, etc.

ML 52

ML ML Machine Learning Machine Learning 52

The MLOps Blog

JANUARY 25, 2023

For example, “I love being ignored” may be tagged as a negative example, and “I can be very ambitious” can be tagged as a positive example. You can also prepare a dictionary of words and tag them into different classes so that humans labeling the data will have uniformity in the annotation.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

Dataconomy

OCTOBER 24, 2023

Collaboratively, Project Silica and the Microsoft Azure team are exploring more sustainable data storage methods. In this partnership, Azure AI plays a pivotal role in decoding the data inscribed in the glass during both writing and reading phases. million songs or offer around 13 years of continuous movie playback.

Azure 103

Azure Computer Science Computer Science AI 103

phData

OCTOBER 2, 2023

As a managed solution on top of Feast, Tecton comes with a higher price tag but will be easier for organizations to adopt and leverage. It can run on an exceptionally wide array of infrastructure options, including AWS, Azure, GCP, Kubernetes, or even on-premise hardware.

Data Warehouse 98

Data Warehouse ML ML Data Scientist 98

AWS Machine Learning Blog

MARCH 3, 2023

Log in to the Azure portal using your global admin user account and choose Next. On the Azure welcome page, choose App registrations. Configure optional encryption settings and tags. Let’s gather those in advance. Enter your password and choose Sign in. Choose New registration. Enter an optional description. Choose Next.

AWS 71

AWS Azure ML ML 71

Revolutions

SEPTEMBER 27, 2021

We describe how to incorporate Microsoft365R and interactive authentication with Azure Active Directory (AAD) into a Shiny web app. The following pages at the AAD documentation will be helpful: A step-by-step guide to registering an app in the Azure portal. How to set permissions for an app. add_methods.

Azure 40

Azure 40

Hacker News

AUGUST 21, 2023

However, check it out in your browser's dev tools so you can see how it renders in the DOM and it will look more like this: Expand that DIV tag and you'll find a whole bunch more content set as a result of loading the widget, but that's not relevant right now. If there's no token then they get booted out right away.

Azure 123

Azure 123

AWS Machine Learning Blog

FEBRUARY 29, 2024

During this orchestration flow, an Azure Active Directory (AD) group for the data analytics team is provisioned with the AD group name corresponding to the domain name. These tags also help track associated costs for the domain. For more information, refer to Actions, resources, and condition keys for Amazon SageMaker.

AWS 100

AWS AI AI Data Scientist 100

Mlearning.ai

SEPTEMBER 4, 2023

4] Private instances: Microsoft Azure provides a private instance of ChatGPT. According to Microsoft, prompts (inputs) and completions (outputs), embeddings, and training data are not available to other customers or to improve any products or services such as OpenAI models, Microsoft Azure, or any other 3rd party.[5],[6]

AI 52

AI AI Azure Machine Learning 52

Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Additionally, the -t (or --tag ) flag is used to give a nametag to your image. Using the -t flag allows you to tag your build with a name that can be used to reference it later. You can use Docker to create, handle, manipulate, and run containers on your system locally.

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

phData

SEPTEMBER 14, 2023

Many enterprises, large or small, are storing data in cloud object storage like AWS S3, Azure ADLS Gen2, or Google Bucket because it offers scalable and cost-effective solutions for managing vast amounts of data. The Columns tab (as shown in Figure 2 ) displays the column names, data types, tags, and masking policies.

Data Analysis 52

Data Analysis Data Analysis SQL Azure 52

Machine Learning World

MARCH 13, 2019

Docker Swarm not only orchestration engine that exist, there are also Kubernets, AWS ECS, Azure Container Service, Google Container Engine, and else. In out first case we use python image with tag 3.7.2-alpine3.9. For big production application i recommend to use Kubernets. RUN  — running a command.

AWS 52

AWS Python Azure Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. There are a few open-source and paid solutions that have exploded in usage by data and software teams over the past few years.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

JANUARY 25, 2024

In a channel, users can ask Amazon Q business expert questions in a new message, or tag it in an existing thread at any point, to provide additional data points, resolve a debate, or summarize the conversation and capture the next steps. You can also invite Amazon Q business expert to participate in your Teams channels.

AWS 116

AWS Azure AI AI 116

The MLOps Blog

OCTOBER 3, 2023

For example, you can use BigQuery , AWS , or Azure. They just need to kind of tag things like “Hey, by the way, we’re using these data sources. It’s almost like a specialized data processing and storage solution. And if you want to use different inference stores, you have that option. We’re creating these features.

ML 52

ML ML Data Scientist Machine Learning 52