SHARK Pros and Cons

I evaluated Shark with the ML team and it was perfect for addressing optimization problems and for neural network training and development.

It's easily available for everyone, easy to implement, convenient and helpful solution.

I like that its versatility and I love that it's compatible with Linux. Review collected by and hosted on G2.com.

Poor website and customer service. The linrary should urgently be updated, I think 2018 was the last update! Review collected by and hosted on G2.com.

This is helpful as for an ML engineer this gives a lot of edges to get the ML libraries there. So it becomes a one stop solution for ML engineer going forward. Review collected by and hosted on G2.com.

Customer care should be strong which will give the best overhead in case of any issue found and need assistance. Added to the UX problems can be solved to quite an extent. Review collected by and hosted on G2.com.

And there are some beneficial libraries to have. Thus, it is a useful library to have. As I am running in ML and there are useful libraries to have. And there are some beneficial libraries available. Review collected by and hosted on G2.com.

There are many progressive bugs, but customer service is correct. There are many progressive bugs, but customer support is correct. Many bugs are progressing, however, customer support is correct. There are many progressive bugs, however, customer support is correct. Review collected by and hosted on G2.com.

As I am working on ML and there is a useful library available. I like its kernel-based learning algorithms and neural network libraries. Review collected by and hosted on G2.com.

There are a variety of errors to be addressed, but customer support is good. There are many bugs that progress, however, customer support is ideal. There are many bugs that progress, but customer service is correct. Review collected by and hosted on G2.com.

I like that it is based on the kernel fully understanding algorithms and neural network libraries. I like that it is based on the kernel acquiring knowledge of algorithms and neural network libraries. I like that it is the mastering algorithm mainly based on the kernel and neural network libraries. and it has some useful libraries to be considered. As I am working in ML and it has a useful library to have. Review collected by and hosted on G2.com.

There are many bugs to improve, however, the customer service is good. There are many bugs to improve, however, the customer service is good. There are many bugs to take a step forward, however, the customer service is correct. There are many bugs to advance, but the customer service is good. There are many bugs to progress, but the customer service is good. Review collected by and hosted on G2.com.

I like it's kernel-based learning algorithms and neural networks libraries .As I am working in ML and it has a helpful libraries available. Review collected by and hosted on G2.com.

There are a lot bugs to be improved but customer support is good . Review collected by and hosted on G2.com.