DataRobot Blog

MARCH 16, 2023

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. Today we are unveiling a new cutting-edge integration with Microsoft Azure OpenAI Service.

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Data Science Dojo

FEBRUARY 20, 2023

Microsoft Azure Machine Learning Microsoft Azure Machine Learning is a set of tools for creating, managing, and analyzing models. It uses algorithms to find patterns and make predictions based on the data, such as predicting what a user will click on. It also has ML algorithms built into the platform.

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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.

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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Data Science Dojo

APRIL 3, 2023

The next step is to select the machine learning algorithm to be used for the model. Azure ML Azure ML Designer is a visual interface in Microsoft Azure Machine Learning Studio that allows data scientists and developers to create and deploy machine learning models without having to write code.

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Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Towards AI

JANUARY 29, 2025

Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. These are essential for understanding machine learning algorithms. Learn to use cloud platforms like AWS, Google Cloud, and Azure for deploying AI models. Data Handling and Preprocessing: Data Cleaning, Augmentation, and Feature Engineering 7.

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Data Science Dojo

JANUARY 13, 2023

This is a fairly straightforward project to attempt, but it is a great way for you to test different algorithms and feature engineering approaches and see how they impact your predictions. Build your data science portfolio by following these tips 2. Here is a dataset containing used cars and the prices that they were sold at.

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Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. Machine Learning Algorithms Recent improvements in machine learning algorithms have significantly enhanced their efficiency and accuracy.

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Mlearning.ai

APRIL 24, 2023

One can only train and mange so many algorithms/commands with one computer, thus it is attractive to use a service cloud platform with more computers, storage, and deployment options. I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science.

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Pickl AI

DECEMBER 26, 2024

The cloud also offers distributed computing capabilities, enabling faster processing of complex algorithms across multiple nodes. 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.

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Data Science Dojo

JUNE 14, 2023

Image to Text with Azure Open AI: This combines the power of Azure and OpenAI to extract text from images. Smart Factory with Azure AI: This leverages Azure’s AI capabilities to optimize manufacturing processes and enhance productivity in smart factory environments.

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DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

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Mlearning.ai

MAY 27, 2023

The principles include safe and effective systems, protections against algorithmic discrimination, data privacy, human alternatives and considerations, and examples of automated systems. The article covers various issues related to technology and data ethics, including algorithmic bias, surveillance and privacy, and artificial intelligence.'

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Data Science 101

DECEMBER 6, 2019

Democratize AI with Azure Machine Learning designer How do you select the correct machine learning algorithms? What is the new Azure Machine Learning Designer. Azure Arc Announcement from Ignite 2019 Azure Arc allows anyone to run Azure Data services on any hardware.

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Data Science Dojo

JULY 18, 2023

They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses. It leverages machine learning algorithms trained on an extensive dataset, surpassing BERT in terms of training capacity.

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Tableau

FEBRUARY 17, 2021

Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. Developed by Salesforce, Einstein Discovery enables people to create powerful predictive models without needing to write algorithms. Microsoft Azure connectivity improvements. Enjoy expanded spatial support.

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Towards AI

JANUARY 6, 2025

Build expertise in computer vision, clustering algorithms, deep learning essentials, multi-agent reinforcement, DQN, and more. You must bring a basic understanding of linear algebra, calculus, and Python to build strength in ML algorithms, […] USAII is an esteemed member of the Institute for Credentialing Excellence and ANSI.

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ODSC - Open Data Science

FEBRUARY 13, 2023

The field of data science changes constantly, and some frameworks, tools, and algorithms just can’t get the job done anymore. Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure.

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Towards AI

FEBRUARY 4, 2025

Seamless Integration with Azure AI Foundry: Leveraging Azures secure and scalable infrastructure, O3mini can be deployed in diverse environments and integrated into AI agents. Azure AI Foundry: Your Gateway to O3mini Azure AI Foundry is integrated platform that brings together powerful AI models, tools, and infrastructure.

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Towards AI

JULY 19, 2023

Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. What is Azure Cognitive Services Text Analytics? Set Azure Cognitive Services API and Key. Import a dataset with a text column.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. By integrating QnABot with Azure Active Directory, Principal facilitated single sign-on capabilities and role-based access controls.

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML.

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ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free.

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ODSC - Open Data Science

AUGUST 18, 2023

Eve Psalti Senior Director | Microsoft Azure AI Over the course of her 20+ year career, Eve Psalti has been the Senior Director at Microsoft’s Azure AI engineering organization, the Head of Strategic Platforms at Google Cloud, and held business development, sales and marketing leadership positions at Microsoft and startups across the US and Europe.

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Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. Where to start? Reinforcement.

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Data Science Dojo

MAY 18, 2023

Building Enterprise-Grade Q&A Chatbots with Azure OpenAI: In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning some of its models. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

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Dataconomy

MARCH 19, 2024

Expanded collaboration between Microsoft and NVIDIA is announced, integrating NVIDIA’s AI and Omniverse tech into Microsoft Azure, Azure AI, and Microsoft 365. This includes bringing NVIDIA Grace Blackwell GB200 and Quantum-X800 InfiniBand to Azure for advanced AI models.

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How to Learn Machine Learning

DECEMBER 24, 2024

Introduction Machine learning can seem overwhelming at first – from choosing the right algorithms to setting up infrastructure. Together with Azure by Microsoft, and Google Cloud Platform from Google, AWS is one of the three mousquetters of Cloud based platforms, and a solution that many businesses use in their day to day.

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Pickl AI

DECEMBER 25, 2024

Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. Its focus lies in building advanced algorithms and leveraging large datasets to answer questions like “what will happen?” ” and “what should be done?”

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ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams.

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Data Science Dojo

JULY 27, 2023

Microsoft: Microsoft uses custom LLMs to power its chatbots, as well as to develop new features for its products, such as Office 365 and Azure. Research and development: LLMs can be used to conduct research, develop new algorithms, and explore new applications for LLMs. This can help businesses to stay ahead of the competition.

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Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

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ODSC - Open Data Science

JANUARY 25, 2023

The Azure ML team has long focused on bringing you a resilient product, and its latest features take one giant leap in that direction, as illustrated in the graph below (Figure 1). Continue reading to learn more about Azure ML’s latest announcements. This is the motivation behind several of Azure ML’s latest features.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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Dataconomy

JUNE 5, 2024

Extensive ecosystem support : It is supported by numerous platform providers (Canonical, Red Hat, Nutanix, VMware) and integrated into major cloud platforms (Amazon Web Services, Google Cloud, Azure, Oracle Cloud Infrastructure). Leading companies are leveraging NIM for diverse applications across industries.

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