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Azure Machine Learning Reviews & Product Details - Page 4

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Azure Machine Learning Overview

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What is Azure Machine Learning?

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Azure Machine Learning Details

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Product Description

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Seller

Microsoft

Description

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately

8,000 passionate employees worldwide.

Azure Machine Learning Media

G2 reviews are authentic and verified.

Here's how.

Zayed R.

Programmer Analyst

Enterprise (> 1000 emp.)

8/19/2020

"Easy to build the machine learing model and deploy in the cloud"

4/5

What do you like best about Azure Machine Learning?

For a data scientist, azure machine learning provides a numerous number of component is available to create the model.

* Easy to deploy the model

*Easy to create the experiment Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Difficult to integrate the data for creating the model Review collected by and hosted on G2.com.

Uayeb C.

Advanced Analytics Manager

Small-Business (50 or fewer emp.)

10/31/2019

"Becoming in a data scientist"

5/5

What do you like best about Azure Machine Learning?

Azure machine learning is one of the best tools of Microsoft Azure to work predictive analytics, Data Scientist of world are researching methods to deploy their solutions. Azure Machine Learning Studios comes to solve this challenge. This tool has a command to commit new web services, those are easy to implement in different data pipelines technologies.

As well this great tool was designed for data scientists’ beginners, why? One of the biggest challenges for these new data scientists is code in programming languages. Coding, you must create your own functions to clean, transform and train models. Using azure ML you just need grad and drop modules and set parameters of what you expect as output.

Each one of those modules has as an output a Dataframe or predictive results, these results can easily be worked with python, R and SQL. Why this is an important feature? If you are an experimented data scientist, you will be able to use your own transformations functions. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Azure machine learning studio right now does not have a way to scale the computer power, however, azure machine learning services you can set the power of the clusters. Another thing is that if you have just one work environment the main page just print all the experiment and it could be that you are working in different projects. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

Explore Azure databricks Review collected by and hosted on G2.com.

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

We use AMLS to connect with students, we process student information to predict who will dropout next academic term, we extract the information from the blob storage, what we are storing, academic, financial any kind of tabular information. After that we run all our custom transformations and merging with the native modules we are identifying the most important driver of student poor performance. Review collected by and hosted on G2.com.

José P.

Senior Data Engineer

Computer Software

Mid-Market (51-1000 emp.)

10/30/2019

"Machine Learning Processes Made Easy in the Cloud"

4.5/5

What do you like best about Azure Machine Learning?

- Azure Machine Learning Studio gives the user a numerous amount of components to tailor each individual process, covering most of the needs that one would have when developing these kinds of data procedures.

- Experiments that involve training a model can generate automatically a new experiment and web service that does the prediction job.

- Machine Learning Experiments can be deployed as a web service executable through an Endpoint.

- The free tier allows anyone to know how the tool works.

- It is easy to add new people to the environment and set the permissions necessary.

- Already provides code samples in different programming languages to execute created Web Services.

- Experiment creation is extremely intuitive as it has a drag and drop functionality. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

- Lacks a way of cleaning the final destination of the data before insertion. It can be worked around but the tool ends up being just for generating information.

- The interface where you see all of your experiments, projects, or web services rarely fits a screen resolution.

- Sometimes the execution of an experiment bugs and says it is still executing. Refreshing the page reveals it had finished a long time ago. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

Even though algorithms for machine learning are given by the tool, you need to understand what the situation at which they are best used is, otherwise you won't get the most out of Azure Machine Learning Studio. Review collected by and hosted on G2.com.

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

Machine Learning model training is easy with this tool. Cleaning data for training, sampling, predicting, and inserting information can all be done using Azure Machine Learning Studio. Review collected by and hosted on G2.com.

Verified User in Retail

Small-Business (50 or fewer emp.)

7/26/2020

"Easy handle machine learning"

3.5/5

What do you like best about Azure Machine Learning?

I like the most about Microsoft machine learning server it's very easy to start.And it is also flexible to add additional things on the fly so I really like the flexibility Microsoft machine learning server is providing. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

limitation to Microsoft technologies and less flexibility in terms of multi technology integration Review collected by and hosted on G2.com.

Arlindo P.

Mid-Market (51-1000 emp.)

12/23/2019

"Excellent for beginners in the world of machine learning."

5/5

What do you like best about Azure Machine Learning?

It is the best solution for beginners, as it uses a GUI for interacting and developing tasks that handle data and construct predictive models and calibrations. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Calculation may take a long time to perform depending on the job you are trying to perform, so we sometimes wait until a predictive model results. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

Take advantage of Microsoft's extensive documentation and knowledge base to build the element you have to hold on to create your first solution without any problems. Review collected by and hosted on G2.com.

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

It recently asked me to make some kind of forecast based on data collected via a website survey to calculate the approval level of their customers and therefore try to predict the sales volume in the next few months. While searching for different options, I found Azure ML to be checked, and I started taking my first steps by comparing different regression and data transformations, after a while through the help guides and support pages, and I realized how good this tool is when I first started hanging from it. It has so many tools at its fingertips that it has a must. Review collected by and hosted on G2.com.

Elif S.

Researcher

Mid-Market (51-1000 emp.)

12/18/2019

"Perfect Machine Learning Tool For Engineers"

4.5/5

What do you like best about Azure Machine Learning?

I use this software to design my machine-learning algorithms. It enables me to create whatever I want with some predefined functions. It is very useful for a new learner. There are also some videos, comments, papers about this software. You can easily check and understand how to use. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

The way that the sofware gives error seems a little bit complicated. It is hard to catch some errors. It is not clear how to handle them. Some predefined functions and some machine learning tools are not clear. It also take some more time to run my codes with respect to some relevant softwares. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

I recommend this software to anyone who is interested in designing a machine learnins algorithm. It is very helpful and easy to use. I really recommend. Review collected by and hosted on G2.com.

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

I have been using this software to run my machine learning codes. It is very user-friendly software. It helps me a lot in terms of its easy-to-use property. Review collected by and hosted on G2.com.

Abhaya P.

Senior SDET

Mid-Market (51-1000 emp.)

12/17/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Awesome predictive model"

4.5/5

What do you like best about Azure Machine Learning?

It provides a medium using which we can deploy our machine learning models and consume it as an end user. It is very easy to use and user friendly. I was very satisfied using this product and would recommend all my friends to use this product. I am able to write code in Pycharm using the libraries from Machine Learning Server. I can use the python libraries such as Numpy, Pandas in my model and deploy it Machine Learning Server. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

However, I have found some problems while using this product. Sometimes, the server hangs and you get stuck. You cannot use it for some time and it requires a restart. As a user, sometimes, it can be very frustrating. Some other times it can be very complex to use as you need to understand its terminologies. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

You won't face any issues in deploying your model in this server as it is very easy and customer friendly. You can create your own models using Machine Learning Server's inbuilt libraries and deploy it in the server and start consuming the model. It provides you accurate and precise results. And one more thing to keep in mind is to use its resources in a limited way else you can generate a big bill. So, use the resources judiciously. Review collected by and hosted on G2.com.

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

Using this, I am able to solve many problems and arrive at accurate results. I use the model to predict alerts which might get generated in the application at a particular time. I even use the model to study the trends of alert generation. When, I deployed my model on this server, I was able to get satisfactory results and show them on a graph which was very much helpful for my manager and customers. I will surely recommend this to my friends and colleagues. Review collected by and hosted on G2.com.

AMIT J.

Data Scientist L3

Small-Business (50 or fewer emp.)

7/17/2020

"Excellent"

4/5

What do you like best about Azure Machine Learning?

This server consists of all machine learning algorithm Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

Some more examples should be given for practice Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/2/2019

"Amazing Experience"

4.5/5

What do you like best about Azure Machine Learning?

In Azure ML, We can create our own free workspace and in a customised way we can design the flow as per our requirement. We can connect to Database to run our query and built in algorithms we can use. It is very easy to deploy also. We were to retrain the model whenever required. Sample code was given in the Azure ML service itself which shows how to connect our model with our current Application. It provides an API key and API Url which helps to connect with our Application. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

In my Project, It was required to predict more accurately than it was currently doing. So, We got a Tensorflow Model which was helping us to predict more Accurately. I wanted to host Tensorflow model in Azure ML Service. As per instructions given in the Azure ML MSDN document It was not getting successfully deployed. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

It is very easy to use. So, go for it . Review collected by and hosted on G2.com.

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

Our Application is Smart City which is known as Advanced Operations Center. Part of this Application used to generate Alert but now we wanted it to generate Alert on the basis of Tweets of incident or some serious situations. Using Twitter handler we were able get Tweets. Then Passing that tweet to Azure Microsoft LUIS application which does work as NLP. Further, We passes it to Azure Machine Learning which searches for the words as per our trained data and predicts if the present tweet is Alert or not. If it is Alert then whether it is Critical, High or Moderate. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

10/15/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Drag and Drop AI-ML Studio"

4.5/5

What do you like best about Azure Machine Learning?

The best thing about this tool is Drag and Drop with Flow chart like diagram service. It provides best infrastructure to code with No code policy. You also can visualize the Actual Flow of Training Machine learning model. You can also analyze data with csv and excel. Review collected by and hosted on G2.com.

What do you dislike about Azure Machine Learning?

As of Now, I do not find any dislikes about Azure Machine learning Studio. Review collected by and hosted on G2.com.

Recommendations to others considering Azure Machine Learning:

If you are machine learning aspirant you can explore this Machine Learning Studio for playing around. You can actually visualize the process. First of Free tier can be used but for Development purposes you can choose appropriate plans. Review collected by and hosted on G2.com.

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

I have been using this ML Studio for Data analysis purpose of House price prediction on Kaggle. I have done and visualized using graphs. Also developed one model for image processing. Review collected by and hosted on G2.com.