Microsoft Machine Learning Server Reviews & Product Details


What is Microsoft Machine Learning Server?

Microsoft Machine Learning Server is your flexible enterprise platform for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business with full support for Python and R. Machine Learning Server meets the needs of all constituents of the process – from data engineers and data scientists to line-of-business programmers and IT professionals. It offers a choice of languages and features algorithmic innovation that brings the best of open-source and proprietary worlds together

Write a Review

Microsoft Machine Learning Server Profile Details

Microsoft Machine Learning Server Profile Details

Vendor
Microsoft
Description
Microsoft Corporation develops, licenses, and supports software products and services; and designs and sells hardware worldwide. Flagship products include Windows, Office, Azure, SQL Server, Exchange, SharePoint, Dynamics ERP and CRM, as well as Xbox; Skype; and Windows Phone.
Company Website
Year Founded
1975
Total Revenue (USD mm)
110,360
HQ Location
Redmond, WA
Phone
+1 (877) 276-2464
Ownership
NASDAQ: MSFT
LinkedIn® Page
www.linkedin.com
Employees on LinkedIn®
166,946
Twitter
@Microsoft
Twitter Followers
8,638,966
Show moreShow fewer

Microsoft Machine Learning Server Reviews

Filter Reviews
Filter Reviews
Sort by
Ratings
Company Size
All Industries
Region
Write a Review
1-12 of 12 total Microsoft Machine Learning Server reviews

Microsoft Machine Learning Server Reviews

Write a Review
Filter By
Connections
Show reviews that mention
1-12 of 12 total Microsoft Machine Learning Server reviews
Copy Review URL
Departmental Head (Software Team)
Mid-Market
(51-200 employees)
Validated Reviewer
Verified Current User
Review Source
Copy Review URL

"Supporter at its best- Great Platform"

What do you like best?

The learning model is really high class. If you make it learn in a active way and test the same thing in a passive manner than answer is big yes to this platform as it will give you a positive result. Learning and testing is way to high leveled than what I expected.

What do you dislike?

Till now dont have any thing to dislike and I believe even in future it wont as this platform is much better than other platforms when compared to others.

Recommendations to others considering the product:

I would surely recommend this platform to all the developers of AI because it has all the detailed features which you require to develop your software. Cheers guys..!!

What problems are you solving with the product? What benefits have you realized?

Right now I and my team are developing a software which has core feature of face recognition and its improvising it. Data sets are very well maintained and can fetch much more data with automation with good quality. All this ultimately helps me to improve the face detection software.

Copy Review URL
ML Engineer
Validated Reviewer
Review Source
Copy Review URL

"Cloud-based Fast Machine Learning Enablement, With Some Per-provisioned Algorithms"

What do you like best?

It is best ML development kit which is cloud based.I have used many of those but found this really very helpful as it has multiple language support.I as team leader can use amalgamation of 2 language talents and develop some robust models using azure.

What do you dislike?

It supports gpu but its cost is little high which i think should be reduced.

Recommendations to others considering the product:

Machine Learning is not a magic. You still need to put some efforts (probably even significant one at the early stage) to define expectations, possible options and then get a lot (a lot !) of data, to train and test your solution.

What problems are you solving with the product? What benefits have you realized?

AML supports both R and Python, so we had an option to negotiate with the potential service provider. Besides, provisioning and management is extremely fast and user friendly, so learning curve was not that steep and within the first few weeks we already had our first protype up and running.

Copy Review URL
ML Developer
Validated Reviewer
Review Source
Copy Review URL

"All The Power, None Of The Overhead"

What do you like best?

I like the ability that azure gives me that no matter the requirement of computing power in order to build and maintain my ML models it is there for me.

What do you dislike?

Unfortunately the price of power comes with a cost, this cost however is very reasonable and will easily be cheaper than buying your own hardware or the time spent to do on lesser machines.

Recommendations to others considering the product:

Don't go crazy on the resources otherwise you can generate a big bill (like I did for the first bill) ubt used wisely this service is invaluable

What problems are you solving with the product? What benefits have you realized?

Microsoft azure gives you the power to create your machine learning models without the cost of having to purchase the hardware

Copy Review URL
Cloud Developer
Validated Reviewer
Review Source
Copy Review URL

"Azure Machine Learning, A Great Tool For Data Scientist"

What do you like best?

Drag and Drop approach to building experiments, this is not only easy but also flexible.

What do you dislike?

I wish creating and comparing multiple copies of the same model would get simple. Also, I wish Azure ML would have been easier to use from Business Analyst perspective.

Recommendations to others considering the product:

Evaluation is an essential step based upon your requirements, Use Cases and Scenarios.

What problems are you solving with the product? What benefits have you realized?

Azure ML is loaded with a large number of algorithms, also a variety of data preparation steps are supported. Using machine learning to train the model was amazing part of game. As per my experience, Data Scientist enjoyed this however Business Analyst had to struggle a bit only at start.

Copy Review URL
Data Engineer
Validated Reviewer
Review Source
Copy Review URL

"Awesome Cloud Machine learning solutions."

What do you like best?

We were able to replace tesious manual processes, often difficult to accurately reproduce with a big data solution that provides our business with insights about our most valuable customer segments.

What do you dislike?

Some service availability degradation early on, however this has improved as the pltform matured.

Recommendations to others considering the product:

Consider current investments and architecture, however don’t loose sight of mid-term operational overhead and roadmap.

What problems are you solving with the product? What benefits have you realized?

It was easy to build a proof of concept witht little investment to prove out the architecture foundation. A traditional rdbms approach could have been viable, however we are now better able for forward growth without legacy baggage.

Copy Review URL
Cloud ML Engineer
Validated Reviewer
Review Source
Copy Review URL

"We Have Worked W/ Microsoft For A Long Time; We Know What To Expect; We Like Microsoft."

What do you like best?

we are a MS shop; things integrate and work well together.It integrates with our current structure a lot better than other options

What do you dislike?

hope had more tools around data cleansing and wrangling.More available features/flexibilities with the tool would be helpful

Recommendations to others considering the product:

do a PoC first.Do some internal deep digging to ensure we have business buyout and ensure all systems have been accounted for in this change.

What problems are you solving with the product? What benefits have you realized?

All good.Still reviewing and testing product due to so many internal legacy systems we would need to ensure that any product utilized maintains no risk because of PII data.

Copy Review URL
G
Small-Business
(11-50 employees)
Validated Reviewer
Review Source
Copy Review URL

"Easy to use and work on"

What do you like best?

This software is very to use and work with. The UI for this application is amazing and we can easily create Machine learning methods with the databases on the server. The ease with with the models can be built is amazing. I would recommend this software to all the folks out there.

What do you dislike?

Still needs improvements in terms of more machine learning models. Adding more models will improve the number of iterations that can be performed on the same data. It will help for the overall success of the project.

Recommendations to others considering the product:

Its a software hassle free and hence would highly recommend this.

What problems are you solving with the product? What benefits have you realized?

For creating models like prediction models and forecasting models by using different Machine Learning methods. So instead of writing the whole codes, just using the Microsoft Azure has helped a lot.

Copy Review URL
Project Development Manager
Computer Software
Enterprise
(10,001+ employees)
Validated Reviewer
Review Source
Copy Review URL

"My opinion regarding Microsoft Machine Learning Server"

What do you like best?

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.

What do you dislike?

It support multiple languages and is open source. But for processing large amount of data you need Microsoft specific set of algorithms like MicrosoftML

What problems are you solving with the product? What benefits have you realized?

Microsoft has been used for analysing the database dumps to get specific information.

Copy Review URL
G
Mid-Market
(51-200 employees)
Validated Reviewer
Review Source
Copy Review URL

"Microsoft review"

What do you like best?

It’s an amazing product with a lot of scope and ways it could improve, this is very good at enabling you to drag and frop without the necessary knowledge of being able to code to the highest level including many packages if you were to custom code

What do you dislike?

Nothing really as it is a really great product and helps you learn quickly

Recommendations to others considering the product:

This is a great product that will help you in many ways if you are looking for an easy way to impliment code

What problems are you solving with the product? What benefits have you realized?

We are solving the ways in which it helps us run the business on a day to day and benefits us by taking a lot of stress on our hands. This also enables us to code in an easier manner making us manage our time more efficiently

Copy Review URL
Data Analyst
Enterprise
(10,001+ employees)
Validated Reviewer
Review Source
Copy Review URL

"Open Source, simple and scalable"

What do you like best?

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

What do you dislike?

I dislike the usability on some libraries and the installation process

What problems are you solving with the product? What benefits have you realized?

We provide data analytics solutions to consumers and provide them with models to predict future outcomes

Copy Review URL
Validated Reviewer
Review Source
Copy Review URL

"Easy enough to use"

What do you like best?

Drag n drop interface and great office 365 integration

What do you dislike?

Costing structure is difficult to convey to execs and get their buy in

What problems are you solving with the product? What benefits have you realized?

Enhance and deploy machine learning API capabilities

Copy Review URL
GM
Small-Business
(2-10 employees)
Validated Reviewer
Review Source
Copy Review URL

"Using Microsoft Machine Learning Server for Robotics"

What do you like best?

Extremely easy to leverage AI technologies without extensive coding experience.

What do you dislike?

Limited customizability. Internet connectivity a must.

What problems are you solving with the product? What benefits have you realized?

Saving R&D costs by using Microsoft's APIs opposed to coding from scratch.

Microsoft Machine Learning Server User Ratings

8.5
Ease of Use
Average: 8.3*
8.0
Quality of Support
Average: 8.2*
8.8
Ease of Setup
Average: 8.3*
* Machine Learning Category
Do you work for Microsoft Machine Learning Server?

Microsoft Machine Learning Server Categories on G2