Azure Machine Learning

Who Uses Azure Machine Learning?

Designed for businesses of all sizes, it is a PaaS solution that helps manage production workflows, track assets, regulate compliance, and more to streamline machine learning lifecycle.

What Is Azure Machine Learning?

On-premise and cloud-based solution that helps build, train and deploy machine learning tools, facilitate team collaboration & more.

Azure Machine Learning Details

Microsoft

http://www.microsoft.com

Founded 1975

Azure Machine Learning Pricing Overview

Azure Machine Learning has a free version and does not offer a free trial.

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Pricing Details

Contact Microsoft for pricing details.

Free Version

Yes

Free Trial

No

Deployment

Cloud, SaaS, Web

Installed - Windows

Training

Live Online

Documentation

Support

Online

Azure Machine Learning Features

Machine Learning Software
Deep Learning
ML Algorithm Library
Model Training
NLP
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualisation

Azure Machine Learning Reviews

Showing 5 of 19 reviews

Overall
4.4/5
Ease of Use
3.8/5
Customer Service
3.7/5
Features
4.1/5
Value for Money
4.2/5
Wechuli P.
Software Engineer
Computer Software, 1,001-5,000 Employees
Used the Software for: 6-12 months
  • Overall Rating
    5/5
  • Ease of Use
    5/5
  • Features & Functionality
    4/5
  • Customer Support
    4/5
  • Value for Money
    4/5
  • Likelihood to Recommend
    8/10
  • Reviewer Source 
  • Reviewed on 7/4/2020

"Machine Learning for Developers"

Comments: This is a wonderful service for straightforward machine learning applications such as regression, that don't require deep learning frameworks. It also provides a convenient way of deploying the models thus less time is spent setting up the infrastructure and more time training and tuning the model.

Pros: - Drag and drop configuration so no need to write actual code. As long as someone has a basic understanding of machine learning concepts, they can configure a working solution.
- Ability to organize projects into separate distinct units, each with its own datasets, experiments and assets
- One-click deployment of the machine learning solution as a service provided one has an Azure account.
- Comprehensive documentation
- You can write custom scripts in R or Python if you need to manipulate the data in some way not provided by the pre-built modules. There is also built in support for Azure Notebooks, so you can attach a notebook anywhere along the workflow, and visualize or manipulate the data in the notebook.

Cons: - The free tier offers a limited number of training hours and functionality so you need to pay a small fee for the service through Azure
- Lacks some specialized deep learning algorithms

  • Reviewer Source 
  • Reviewed on 7/4/2020
Lewis E.
VP
Used the Software for: 1-5 months
  • Overall Rating
    4/5
  • Ease of Use
    3/5
  • Features & Functionality
    4/5
  • Customer Support
    2/5
  • Value for Money
    4/5
  • Likelihood to Recommend
    Unrated
  • Reviewer Source 
  • Reviewed on 7/3/2018

"Some great capabilities here, but the number of machine learning models is limited."

Pros: The machine learning models that they provide really work well. It is very easy to set up an account and access the possibilities, There are some services that the first usages are free, so you don't chew up money while learning the basics Very fast. Very detailed and clear billing. Allows you to run problems that require very large computer capacity without having to buy very expensive hardware. You pay just for what you use at reasonable rates. Very good overall web descriptions of the capabilities (especially when compared to Amazon, the largest of the providers of this class of software)

Cons: Few models. There are many machine learning models. Azure, Amazon and each of the companies that make offerings only pick a few to provide. Therefore, you can only use for a problem which matches one of their models, or find a way to twist your problem to fit one of the models provided. At this time, this sees to be true of Azure and the others offering cloud-based machine learning. The level of support that Microsoft provides is much less than what they provide to Windows and Office The Sales people know little other than their talking points to advise whether Azure, in it's present state of development, can solve your problem. Moreover, Azure is growing so fast that they cannot hire & train sales people fast enough. It is difficult to estimate the cost of a particular machine learning operation in advance, and whereas Azure is very transparent with the unit prices, it is very hard to estimate how many of the different price element units you will need to run a problem. There is little or no help available now. Only Amazon does better in this area, and Azure is itself not strong here, but is better than all the other non Amazon competitors. While value for the money is terrific & ML is becoming affordable for almost all of us, Azure still seems to be a little more costly than AMS

  • Reviewer Source 
  • Reviewed on 7/3/2018
Ben W.
Software Engineer
Computer Software, 13-50 Employees
Used the Software for: Free Trial
  • Overall Rating
    3/5
  • Ease of Use
    2/5
  • Features & Functionality
    4/5
  • Customer Support
    3/5
  • Value for Money
    3/5
  • Likelihood to Recommend
    5/10
  • Reviewer Source 
  • Reviewed on 27/9/2019

"Machine Learning for GUI users."

Comments: Human pattern recognition, image recognition. Automation

Pros: When getting into machine learning topics, if you're not a coder, this is likely the option for you. Most traditional ML frameworks require you to code a lot and know a lot of things like convolutions and setting up certain input and outputs. Azure ML Studio makes a lot of that simpler by creating a lot of drag and drop features that can get you going pretty quick.

Cons: Training isn't as straightforward as it may seem. The tutorial videos they have available are a little outdated and there are a few new features not mentioned in them. Also, the free tier is rather limited and is only intended for personal use or some proof-of-concept dev work. I personally feel that Azure ML Studio takes more time to get used to using than learning how to code something like TensorFlow.

  • Reviewer Source 
  • Reviewed on 27/9/2019
Verified Reviewer
Head of Innovation & Marketing
Computer Software, 51-200 Employees
Used the Software for: 1+ year
  • Overall Rating
    5/5
  • Ease of Use
    3/5
  • Features & Functionality
    5/5
  • Customer Support
    5/5
  • Value for Money
    5/5
  • Likelihood to Recommend
    8/10
  • Reviewer Source 
  • Reviewed on 7/3/2018

"With an new machine learning platforms rolling out Azure gave us a head start"

Comments: Azure's Machine Learning Studio is a welcome addition to the world of emerging technologies. As a research and development firm we have to experiment of these applications. Azure is a respected product and their foray into machine learning is a welcome one.

Pros: Microsoft has a solid, reliable and well supported cloud environment that we've been using internally for years. Azure has been a part of what we do for as long as I've been at the company. The price is somewhat okay and the training materials are accessible enough. It's nice to enter the studio to your customized taste and continue to tweak it for maximum efficiency. Database creation/management is where this really shines.

Cons: Pricing isn't the most competitive but we're lucky to be able to ignore that for the most part. Actual support isn't the best but the community does a good job supporting itself.

  • Reviewer Source 
  • Reviewed on 7/3/2018
Verified Reviewer
Software Developer
Computer Software, 501-1,000 Employees
Used the Software for: 6-12 months
  • Overall Rating
    4/5
  • Ease of Use
    4/5
  • Features & Functionality
    4/5
  • Customer Support
    3/5
  • Value for Money
    4/5
  • Likelihood to Recommend
    8/10
  • Reviewer Source 
  • Reviewed on 16/6/2018

"Best available tool for machine learning process"

Comments: Learning machine learning process to implement in AI apps.

Pros: Microsoft Azure Machine Learning Studio is the tool which provides plenty of features which helps us to understand the machine learning process so that we can implement them in real time applications based on python and other programming languages. It helps to create the public demographics and web services that we can use them in various applications. It has tons of machine learning algorithms on the go.

Cons: Azure Machine Learning Studio has vector size and supports limitations. Basic plans give very few space to use and experiments attempts.

  • Reviewer Source 
  • Reviewed on 16/6/2018