BigML Reviews

BigML is a great Tool in the Machine Learning Field because of its dynamic work models. BigML I am used is classification of the data set and it is very easy and Responsible.

About my experience nothing as such but some time accuracy may differ but data set become more filtered after use of BigMl. Some time it feel like confusion but not at all

About benefits BigML work well with multiple type of datasets. And It provides me better experience. Solve huge dynamic datasets in my projects. It is best from my side.

The best thing about it is it supports many ML algorithms and data formats and also it found a cloud-based platform for data pre-processing. It is also integrated with Excel and Tableau

I found it a grat platform for data processing but my team found some issue in it while doing data imports and formats in it

It helps us to deploy the creative models and perform the data pre-processing. It is like a higher data scientist for our industry who analysis the data very effectively and processes them easily, which benefit us in saving money and time.

This is a great platform where one can easily find any algorithm related to Machine Learning. Yes, even they provide a lot of data sets which really helps for learning and understanding the BigML API. The documentation is too good and up to the mark.

It is not a free service, where as one can easily find many open source libraries such as scikit-learn that meets the purpose and even its free.

There are a number of free datasets available, which are displayed on the dashboard itself when you sign in. I suggest you to play with those datasets, it will provide a brief information how BigML API works .

Deploying models on BigML cloud that are used to carry out various ML tasks using the powerful BigML API.

- The UI/UX of the website is great.

- It supports multiple languages and is easy to use.

- Wide range of free datasets to play with.

- Provides almost all Machine Learning algorithms which are also optimized.

Their customer support is great, every time I face a issue it get resolved within a day or two. Apart from that their service is also great, I really loved this concept where they provide every Machine Learning Algorithm just using a API, which can be used in any programming language. I think is really great thing. Also their website has good UI/UX.

I every time need a internet connection to test my application or even after I make a full working product. They provide no offline support like the famous machine learning library scikit-learn which is open source too. BigML is a paid service where as we can find many services in this market which are free of cost.

They provide some data sets for free to explore, use them for learning and understanding purpose.

Using it in applications where we perform Machine Learning tasks.

The best thing about BigML is you don't need any files on your local system, just an internet connection and API will let you do anything you want, from model deployment to prediction. You can save the model on cloud and use it from any device you want. Also, one more thing I would like to mention is the free datasets they provide for playing around with your models, there is a wide range of datasets that one can use directly with API.

We have been using BigML for a long time and have never faced issues.

They provide a variety of free datasets, I recommend to use them while you become familiar with the platform.

Deploying ML models on cloud facility they provide to use them in different projects we build in our organization.

I really like that it provides service as a REST API. It is so fast and efficient that I always rely on it for all of the products I develop.

In free trail it limits the storage which forces one to buy a paid pack. I would really love to recommend it if it would have been providing more perks in free pack. It constraints itself to professional purpose and cannot be used for learning purpose.

Use the sample datasets they provide on the website for practice purpose, they really help one to understand how the algorithms work.

I use it almost everywhere where there is use of Machine Learning. For all the Machine Learning involving products we develop at Soni Tech we always use BigML.

The algorithms it provide are fast as well as efficient. Also another benifit is we don't need any local storage space, it totally works on cloud and Web API.

I am using it from a long time and haven't faced any problems. I am happy with the experience so I would say, 'no dislikes' for BigML.

Along with algorithms, BigML provides a lot of datasets which can be used to have a basic knowledge of a particular algorithm. So for practice purpose I highly recommend to use this datasets.

Using BigML Web API in different applications we develop at Soni Tech to where a bit or a lot of Machine Learning is required.

Along with algorithms it also provides a lot of data sets, which really helps one to understand how it really works and directly get hands on with the service.

It offers very less perks for example: very storage space with the free account, there should be more perks provision with the free account.

BigML provides a lot of datasets, make use of them. Personally they have helped me a lot.

Developing

It has almost all machine learning algorithms implemented, which on can use on the fly without any hesitation with the easily accessible API.

It is a totally a cloud platform, where one need to depend on the internet connection. No internet, no BigML. It would have been better if there would be some kind of offline support.

It is easy to use, but still I recommend you to start learning from scikit-learn: http://scikit-learn.org/ as it is very well documented and has offline support too, and go for BigML then after.

Making products which uses Machine Learning.