My experience with pricing, setup cost, and licensing has been that we have received very good terms, and the setup cost and licensing have been easy to implement, with pricing exactly what we would expect for this type of software in our environment.
My experience with pricing, setup cost, and licensing for Weka is that I think it's a fair price since we are using it academically, so it is completely free to download and use. The license is also free, allowing us to modify and share software freely among friends or classmates.
I am currently using the freeware version of Weka on my desktop. As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if there is a commercial product. However, I am aware that the team at Waikato University created MOA (Massive Online Analysis) for data stream analysis, somehow analysis on the fly as new cases get in. They can handle very large datasets with millions of rows, which is beyond the capacity of a desktop. I am not in data streaming so I cannot say much. This online solution is different from what I mentioned above on uploading a machine-learning object into production. To the best of my knowledge, MOA is research, not production.
I like how the classification and prediction work. We should use Weka because the path is very big and much better. If there are a lot more lines of code, then we should use another language.
I use both the paid and the open-source versions of the product. If you're a client and you don't want very many details incorporated in your solution, then we will go full open-source. Open source doesn't have very many solution alignment incorporations. However, the paid version has very many options and stuff that needs to be incorporated when providing a solution. It depends on the specifications of a client which we would use. It's not about the price.
Weka provides a user-friendly platform for data processing and classification with a no-code interface, visual tools, and diverse algorithms. Its robust GUI supports seamless enterprise data integration and efficient performance on large datasets.Weka is known for its simplicity and comprehensive algorithm selection, making it a popular choice for data exploration, processing, clustering, and mining. The platform is user-friendly and caters to both beginners and advanced users, supporting...
My experience with pricing, setup cost, and licensing has been that we have received very good terms, and the setup cost and licensing have been easy to implement, with pricing exactly what we would expect for this type of software in our environment.
My experience with pricing, setup cost, and licensing for Weka is that I think it's a fair price since we are using it academically, so it is completely free to download and use. The license is also free, allowing us to modify and share software freely among friends or classmates.
Weka is free and open-source software. That is why I used it over KNIME.
We use the free version now. My faculty is very small.
I am currently using the freeware version of Weka on my desktop. As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if there is a commercial product. However, I am aware that the team at Waikato University created MOA (Massive Online Analysis) for data stream analysis, somehow analysis on the fly as new cases get in. They can handle very large datasets with millions of rows, which is beyond the capacity of a desktop. I am not in data streaming so I cannot say much. This online solution is different from what I mentioned above on uploading a machine-learning object into production. To the best of my knowledge, MOA is research, not production.
The solution is free and open-source.
The solution is open-source and free to use.
I like how the classification and prediction work. We should use Weka because the path is very big and much better. If there are a lot more lines of code, then we should use another language.
Currently, I am using an open-source version so I don't know much about the price of this solution.
I use both the paid and the open-source versions of the product. If you're a client and you don't want very many details incorporated in your solution, then we will go full open-source. Open source doesn't have very many solution alignment incorporations. However, the paid version has very many options and stuff that needs to be incorporated when providing a solution. It depends on the specifications of a client which we would use. It's not about the price.