databricks

MAY 1, 2023

At Databricks, we offer maximal flexibility for choosing compute for ETL and ML/AI workloads. Staying true to the theme of flexibility, we announce.

ETL 242

ETL Azure ML ML 242

Data Science Dojo

APRIL 3, 2023

Drag and drop tools have revolutionized the way we approach machine learning (ML) workflows. Gone are the days of manually coding every step of the process – now, with drag-and-drop interfaces, streamlining your ML pipeline has become more accessible and efficient than ever before. H2O.ai H2O.ai

ML 195

ML ML Machine Learning Machine Learning 195

Data Science 101

JULY 8, 2019

The first course is Intro to Azure ML Studio – Regression. Azure ML Studio is a drag-and-drop interface for doing machine learning. Topics are all based upon Azure ML Studio, and they include: Linear Regression Linear Correlation Feature Selection Splitting Data Evaluating a model.

Azure 96

Azure ML ML Machine Learning 96

Julien Simon

OCTOBER 8, 2023

In this video, I show you how to deploy Hugging Face models in one click on Azure, thanks to the model catalog in Azure ML Studio. link] To get started, you simply need to navigate to the Azure ML Studio website and open the model catalog. Then, I run a small Python example to predict with the model.

Azure 98

Azure ML ML Python 98

Towards AI

FEBRUARY 21, 2024

A Hands-On Guide to Getting Started with Azure Machine Learning Using Python — Mastering Azure Machine Learning: Hands-On Python GuidePhoto by Fatos Bytyqi on Unsplash Hello Everyone! Welcome to the exciting Azure Machine Learning Blog Series — Mastering Azure Machine Learning: Hands-On Python Guide.

Azure 105

Azure ML ML Python 105

KDnuggets

JANUARY 2, 2020

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

Machine Learning 323

Machine Learning Machine Learning Azure Data Scientist 323

databricks

MARCH 20, 2024

In the previous blog , we discussed how to securely access Azure Data Services from Azure Databricks using Virtual Network Service Endpoints or.

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Azure ML ML Data Science 130

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 130

ML ML Azure AWS 130

Data Science Dojo

OCTOBER 25, 2023

Deploy Llama 2 on Microsoft Azure Microsoft and Meta have strengthened their partnership, designating Microsoft as the preferred partner for Llama 2. This collaboration brings Llama 2 into the Azure AI model catalog, granting developers using Microsoft Azure the capability to seamlessly integrate and utilize this powerful language model.

Azure 370

Azure Artificial Intelligence Artificial Intelligence AI 370

Dataconomy

NOVEMBER 16, 2023

Step into a world where words not only speak but come alive with the magic of Azure AI Speech. Key components of Azure AI Speech Azure AI Speech is a comprehensive suite of services provided by Microsoft that leverages artificial intelligence (AI) and machine learning (ML) technologies to enhance and customize voice experiences.

Azure 103

Azure AI AI Artificial Intelligence 103

DataRobot Blog

MARCH 16, 2023

Over the past several months I’ve been collaborating with Dom Divakaruni, the Head of Product for Azure OpenAI Service. I couldn’t be more excited to share what we’ve been working on with DataRobot and Microsoft Azure OpenAI service. Today we are unveiling a new cutting-edge integration with Microsoft Azure OpenAI Service.

Azure 98

Azure Data Science Data Scientist ML 98

AWS Machine Learning Blog

NOVEMBER 25, 2024

We provide a step-by-step guide for the Azure AD configuration and demonstrate how to set up the Amazon Q connector to establish this secure integration. Prerequisites To follow along, you need the following prerequisites: The user performing these steps should be a global administrator on Azure AD/Entra ID. Choose New registration.

Azure 88

Azure AWS Natural Language Processing AI 88

Data Science Dojo

OCTOBER 31, 2024

Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications. Demand for applied ML scientists remains high, as more companies focus on AI-driven solutions for scalability.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

FEBRUARY 20, 2023

Machine learning (ML) is the technology that automates tasks and provides insights. It comes in many forms, with a range of tools and platforms designed to make working with ML more efficient. It features an ML package with machine learning-specific APIs that enable the easy creation of ML models, training, and deployment.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

ODSC - Open Data Science

APRIL 23, 2025

AI credits from Confluent can be used to implement real-time data pipelines, monitor data flows, and run stream-based ML applications. Amazon Web Services(AWS) AWS offers one of the most extensive AI and ML infrastructures in the world. powers scalable ML workflows using Flyte, a workflow automation platform built for teams.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

Analytics Vidhya

NOVEMBER 24, 2023

It’s a common challenge faced in the production phase, and that is where Evidently.ai, a fantastic open-source tool, comes into play to make our ML model observable and easy to monitor. Introduction Have you experienced the frustration of a well-performing model in training and evaluation performing worse in the production environment?

Data Models 328

Data Models Data Modeling ML ML 328

Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2. Creativity and Innovation 3.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

Data Science 101

MAY 20, 2019

You can get this information as the Microsoft Azure Data Scientist Checklist. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. Azure ML Studio. Azure Products.

Data Science 111

Data Science Azure Data Scientist Machine Learning 111

Data Science Dojo

JULY 17, 2023

Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a cloud-based platform that can be used for a variety of data analysis tasks. RapidMiner was also used by the World Bank to develop a poverty index. It is a cloud-based platform, so it can be accessed from anywhere.

Data Analysis 195

Data Analysis Data Analysis Tableau Machine Learning 195

Data Science 101

JANUARY 24, 2020

Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Azure SDK January 2020 Updates – The SDK now includes preview support of the Text Analytics capabilities from Cognitive Services. Courses/Learning.

Cloud Data 129

Cloud Data Data Science Azure Machine Learning 129

Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

Azure 52

Azure ML ML Data Science 52

Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

ML 98

ML ML Python Machine Learning 98

Mlearning.ai

AUGUST 5, 2023

Submission Suggestions Building Large Language Models Applications using Prompt Flow in Azure ML — Simple LLMOps was originally published in MLearning.ai md at main · balakreshnan/Samples2023 (github.com) WRITER at MLearning.ai // Control AI Video ? imagine AI 3D Models Mlearning.ai

Azure 52

Azure ML ML Machine Learning 52

Mlearning.ai

AUGUST 12, 2023

Submission Suggestions Building Large Language Models Applications using Prompt Flow in Azure ML with Evaluations — LLMOps was originally published in MLearning.ai md at main · balakreshnan/Samples2023 (github.com) WRITER at MLearning.ai / AI Movie Director /imagine AI 3D Models Mlearning.ai

Azure 52

Azure ML ML Machine Learning 52

Data Science 101

NOVEMBER 15, 2019

Microsoft Azure. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm. Amazon AWS. Google Cloud.

Cloud Data 96

Cloud Data Data Science Azure AWS 96

Data Science Dojo

SEPTEMBER 10, 2024

LLM companies are businesses that specialize in developing and deploying Large Language Models (LLMs) and advanced machine learning (ML) models. Additionally, Azure Machine Learning enables the operationalization and management of large language models, providing a robust platform for developing and deploying AI solutions.

Machine Learning 369

Machine Learning Machine Learning Natural Language Processing ML 369

Data Science 101

NOVEMBER 22, 2019

PyTorch on Azure with streamlined ML lifecycle Microsoft Azure supports the latest version of PyTorch. Azure Machine Learning provides an environment to train, scale, deploy and monitor solutions using PyTorch. What’s new in Azure Cognitive Services Azure Cognitive Services bring the power of AI to all developers.

Cloud Data 99

Cloud Data Data Science Azure AWS 99

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. This will cover major announcements and news for doing data science in the cloud. Amazon Web Services.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Pickl AI

DECEMBER 26, 2024

Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

Mlearning.ai

DECEMBER 21, 2023

Explore ML architectural patterns in Azure for classic and evolving needs – streaming data, model monitoring, and multiple models pipeline Continue reading on MLearning.ai »

Azure 52

Azure ML ML Data Models 52

Towards AI

APRIL 7, 2024

Today, we’re going to discuss about the often overlooked but incredibly crucial aspect of Building ML models, i.e, Why learning to deploy the ML model is important? Deploying machine learning models. So grab your favorite beverage, get cozy, and let’s embark on this enlightening adventure together!

Azure 105

Azure Machine Learning Machine Learning Exploratory Data Analysis 105

ODSC - Open Data Science

JULY 4, 2023

Henk’s specialties include AI, Azure, and application development. Henk’s keynote talk , Build and Deploy Pytorch Models with Azure Machine Learning, is available for free now on our Ai+ Training Platform , which you can access with a free account. It offers the option of low-code auto ML, partial-code ML, and full-code ML.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

Mlearning.ai

JULY 8, 2023

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

ETL 52

ETL Azure Python Internet of Things 52

Mlearning.ai

AUGUST 19, 2023

Introduction Fine tune LLama2 model in Azure ML Using Azure ML Using NVdia A100 GPU SKU NCADSA100v4 I had to request quota increase using Azure ML to achieve this experiment using open source data set Following this experiment from here Code First install necesary packages !pip pip install -U pip !pip

Azure 52

Azure Machine Learning Machine Learning ML 52

Mlearning.ai

JULY 29, 2023

Schedule Batch Inference of Machine Learning Model on Azure Cloud with Container Services and Logic App Photo by Victoire Joncheray on Unsplash I. This approach is heavily inspired by the book Designing Machine Learning Systems by Chip Huyen , a go-to resource for any ML Engineer. ML inference written to the resignated table).

Azure 52

Azure Machine Learning Machine Learning ML 52

Mlearning.ai

SEPTEMBER 2, 2023

Submission Suggestions Segment anything with ONNX Runtime using Azure Machine Learning was originally published in MLearning.ai Submission Suggestions Segment anything with ONNX Runtime using Azure Machine Learning was originally published in MLearning.ai It is already in the correct form for input to the ONNX model.

Azure 52

Azure Machine Learning Machine Learning ML 52