Vowpal Wabbit Reviews & Product Details

One of the main advantages of VW is its ability to learn from large, sparse data sets quickly. Review collected by and hosted on G2.com.

It has a large number of options and can be difficult to set up and use for those who are new to the tool. Review collected by and hosted on G2.com.

It's one of the best Open Source ML capabilities have helped my team build the app. Its active learning is way beyond Review collected by and hosted on G2.com.

Initial days there were a few glitches, however, it was sorted as the days we got more mature using it. May be a few sample would be of great help Review collected by and hosted on G2.com.

Complex scenarios are explained in a well organized manner which helps us in a very easy learning experience. Review collected by and hosted on G2.com.

Maybe with lots of examples could have helped more Review collected by and hosted on G2.com.

Complex scenarios and concepts are explained in an intuitive manner which makes for a very easy learning experience. The lessons are fun and interactive & help in understanding the machine learning concepts beautifully. Review collected by and hosted on G2.com.

Lack of ample examples to help understand a topic better & a missing link of connecting the concepts with real world problems can be a tricky learning experience for some. Review collected by and hosted on G2.com.

Its a fast, efficient and versatile app. Helps in solving complex machine learning problems. Review collected by and hosted on G2.com.

No samples to help, few issues in the app in the beginning, lacks in providing detailed learning. Few samples and real life examples should be present. Review collected by and hosted on G2.com.

Vowpal Wabbit is a machine learning tool based on machine learning technology that empowers the user with relevant complex data useful to implement and optimize digital campaigns and strategies. Review collected by and hosted on G2.com.

At the first usage, it may seem hard to understand how to efficiently use the platform, but after some time dedicated to training and testing, you'll be easily able to adopt the software easily. Review collected by and hosted on G2.com.

The user interface is very clear to understand and the commands are also easy to understand. It provides three contextual bandits algorithms that can be written in the argument of pyvw.vw() : --cb, --cb_explore, and --cb_explore_adf. Review collected by and hosted on G2.com.

When I introduced 15 different random contexts having 5 different cohorts and 5 different actions having different rewards, it took much more time in computing ctr. The size of the dataset was 1 million data. Review collected by and hosted on G2.com.

It Provides Easy APIs with Python and its documentations is very good. Also, it's easy to handle by users. Vowpal Wabbit provides a fast, flexible, online, and active learning solution that empowers you to solve complex interactive machine learning problems. Review collected by and hosted on G2.com.

It's written in C++ (fast), which is not that easy to code, but one doesn't need to code in that language. It also has a Python wrapper to be used. Review collected by and hosted on G2.com.

Online learning and Scalability of terabyte features is the Review collected by and hosted on G2.com.

The level of performance is perfectible. Review collected by and hosted on G2.com.

The easy API with Python is very developer-friendly, along with good documentation page. Review collected by and hosted on G2.com.

No options, or I couldn't find, to train models on larger scale datasets in a distributed (cloud) manner. Review collected by and hosted on G2.com.