Azure Machine Learning Reviews & Product Details

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.

Seller

Microsoft

Discussions

Azure Machine Learning Community

Solution Type

All-in-One

Overview by

Don Scott (GM, AI Product @ Microsoft)

Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

11 months

View More Pricing Information

Top-Rated Alternatives

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User Insights

Average based on 90 real user reviews.

Implementation Time

3 months

Perceived Cost

$$$$$

sheng t.

Data Analyst

Enterprise (> 1000 emp.)

3/20/2019

"Open Source, simple and scalable"

4/5

What do you like best about Azure Machine Learning?

I like that it's transferable and able to take in multiple sources and pretty versatile with other programming languages. It also has remote executions and dedicated pre-trained models to solve problems Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I dislike the usability on some libraries and the installation process Review collected by and hosted on G2.com.

Sheetal V.

Project Development Manager

Computer Software

Enterprise (> 1000 emp.)

1/17/2019

"My opinion regarding Microsoft Machine Learning Server"

3.5/5

What do you like best about Azure Machine Learning?

Microsoft Machine Learning Server is designed with Microsoft R and Python with AI capabilities. It get frequent updates with updated features and AI. It helps to scale large data, to build AI specific intelligent applications. Moreover its available on premises as well on cloud. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

It support multiple languages and is open source. But for processing large amount of data you need Microsoft specific set of algorithms like MicrosoftML Review collected by and hosted on G2.com.

Daniel H.

diseño web

Information Technology and Services

Small-Business (50 or fewer emp.)

4/27/2018

"Azure ML is fun to use"

5/5

What do you like best about Azure Machine Learning?

First of all, I must say that its interface is so pleasant to the eye and searching and dragging in the different components into the dashboard is fun. Configuring the modules is very simple, with a lot of features being preconfigured. Visualizing the results is also very neat and being able to publish the service as web API with minimal effort is so cool. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

So far, I don't find anything I dislike about Azure Machine Learning, but I must admit that my level of apprentice in this field is at a beginner's level. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

An intermediate to advanced knowledge of regression models, data sorting and cleansing, is a must, as with other machine learning software. Also comparing the different learning models, one another is definitely necessary to optimize the results. Review collected by and hosted on G2.com.

What problems is Azure Machine Learning solving and how is that benefiting you?

Recently, I was asked to perform some sort of prediction for a drugstore, based on data gathered through a web page survey, in order to rate their customers level of approval, and therefore try to forecast the coming months sales volume. After searching for different options, I found Azure ML and decided to try it out, after a while of going through the help guides and support pages, I started taken my first steps, testing and comparing different regression methods and data transformations, and when I started to get a hang of it, I realize how powerful this tool is. It has such a vast number of resources available, that makes it a must have. Review collected by and hosted on G2.com.

Saransh D.

Graduate Research Assistant

Higher Education

Enterprise (> 1000 emp.)

6/12/2018

"My experience with this software has been really good. "

4/5

What do you like best about Azure Machine Learning?

Azure Machine Learning platform is aimed at setting a powerful playground both for newcomers and experienced data scientists. It is more more flexible in terms of out-of-the-box algorithms when compared with other platforms. A big part of Azure ML is Cortana Intelligence Gallery. It’s a collection of machine learning solutions provided by the community to be explored and reused by data scientists. It is a powerful tool for starting with machine learning and introducing its capabilities to new employees. On the other hand, Azure ML supports graphical interface to visualize each step within the workflow. Perhaps the main benefit of using Azure is the variety of algorithms available to play with. It supports around 100 methods that address classification (binary+multiclass), anomaly detection, regression, recommendation, and text analysis. It also has one clustering algorithm (K-means). Once can execute the 'R ' scripts within the platform to meet his or her needs. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Going towards machine learning with this platform has some learning curve. It is a it more expensive than the Amazon platform. Sometimes the speed of execution can be slow. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

It is one of the most user friendly cloud hosting platforms and integrates well with other MIcrosoft products. Review collected by and hosted on G2.com.

What problems is Azure Machine Learning solving and how is that benefiting you?

It has helped me in easy drag-and-drop of objects on the interfaces to create models that can be pushed to the web as services to be utilized by tools like business intelligence systems. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

1/17/2019

"Experimental POS project on Azure ML - smooth implementation"

4.5/5

What do you like best about Azure Machine Learning?

Easy to use API implementation, clean API structure Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

The documentation could be better. Adding high amounts of training data takes time. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

As a POC product, this was very easy to use and quick to implement. Review collected by and hosted on G2.com.

What problems is Azure Machine Learning solving and how is that benefiting you?

We did a POC on an algorithm based data analytics. Used Azure ML as the ML service where we input our training data and then extract results from actual data. Review collected by and hosted on G2.com.

Verified User in Higher Education

Enterprise (> 1000 emp.)

9/14/2018

"Review for Azure Machine Learning Studio"

5/5

What do you like best about Azure Machine Learning?

I like is the ease of integration with R and Python. One can develop machine learning models in any of these and deploy production-ready models to Azure. Azure ML also supports graphical interface to visualize each step within the workflow. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

It is more expensive than the Amazon platform and sometimes the speed of execution can be slow. Also as the support to salesforce is not present. We cannot deploy the API to read and write data from Salesforce. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

It is one of the most user-friendly cloud hosting platforms and integrates well with other Microsoft products. Review collected by and hosted on G2.com.

What problems is Azure Machine Learning solving and how is that benefiting you?

We use it for Computer vision and NLP problems. It is very good for prototyping. I would recommend it. Review collected by and hosted on G2.com.

Verified User in Education Management

Small-Business (50 or fewer emp.)

2/8/2019

"Smooth platform train and test your models with visualizing the performance"

4.5/5

What do you like best about Azure Machine Learning?

Ability to drag and drop the blocks of algorithms and other functions Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I feel like a user has less flexibility to operate on his own when certain logic is to be employed. Review collected by and hosted on G2.com.

Janish S.

Head Technical Program Manager

Information Technology and Services

Enterprise (> 1000 emp.)

10/9/2018

"Good for beginners"

4/5

What do you like best about Azure Machine Learning?

The compatibility that it works for every enterprise, compatibility with existing Microsoft products Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I would say the speed as compared to Amazon Web Services Review collected by and hosted on G2.com.

Verified User in Management Consulting

Small-Business (50 or fewer emp.)

6/28/2018

"Azure is a high quality engine"

2/5

What do you like best about Azure Machine Learning?

I appreciate the ability for azure to add in dimensionality to processing power. It is extremely power as a PAAS SAAS IAAS platform and allows users to determine on their own the best approach to the solution of their specific individual needs. I also like the quality with which Azure provides customer support and help assistance to clients. It is a robust platform with a robust user base. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

I dislike the price point at which Azure markets itself. It does not make sense to charge that much given their lower costs compared to competitors. Review collected by and hosted on G2.com.

Verified User in Higher Education

Small-Business (50 or fewer emp.)

10/6/2018

"Opinion on Azure Machine learning for building models for fitting the data I have worked on."

4.5/5

What do you like best about Azure Machine Learning?

The fast and easy way to build complex predictive models without knowing much of the programming stuff. The organizing of data and being able to run R and python necessary scripts on the data made it a little easier. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

The sentiment analysis results were not accurate and the response time on queries is not fast. Review collected by and hosted on G2.com.