Top Rated Patern Recognition and Machine Learning Toolbox Alternatives
It's a go to package for all ML needs. It consists of widely used machine learning techniques.
It is very well documented and easy to learn for new beginners Review collected by and hosted on G2.com.
There's a room for improvement for memory optimizations.
Need to improve support for Grapical processing unit. Review collected by and hosted on G2.com.
10 out of 11 Total Reviews for Patern Recognition and Machine Learning Toolbox
Overall Review Sentiment for Patern Recognition and Machine Learning Toolbox
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It's a readymade platftom which let you train a model with less effort Review collected by and hosted on G2.com.
No space for enough customization in model classification Review collected by and hosted on G2.com.
It is a good tool for rapidly testing ML algorithms. It is very useful and propose several algorithms. Review collected by and hosted on G2.com.
It needs a better documentation. It is a little difficult to understood at first sight. Review collected by and hosted on G2.com.
As i am a research fellow, i worked on it many times and i really thanks to matlab for such package consist of all needed algorithms and i can directly use those algorithms. It also provide help support for users so that no one can find any difficulty to use it. Review collected by and hosted on G2.com.
It may consist some more algorithms support. Its documentation is poor it may consist more in attractive manner .... But its good Review collected by and hosted on G2.com.
There is no external dependency. It is purely in MATLAB language. It is rapidly growing its usage. Review collected by and hosted on G2.com.
It also requires Statistics Toolbox and Image Processing Toolbox. So if they can incorporate these. Review collected by and hosted on G2.com.
This toolbox is a MATLAB centric toolbox, which is a supplement to the Bishop book and hence, is great when I need to run a simple code to see how certain algorithms work. The visualizations are the best part. Review collected by and hosted on G2.com.
Installing the package can be a inconvenience sometimes. I have heard of cases when the setup.m file did not work from my friends. However, this can be mitigated to a certain extent by adding the folder to the MATLAB path variable Review collected by and hosted on G2.com.
I use the pattern recognition and machine learning toolboxes in Matlab considerably, mainly for my research. These are very useful, as they contain modules for running several machine learning/pattern recognition algorithms. These can be easily adapted to any platform, including mobile devices, and saves a lot of time that would otherwise be spent on coding and programming. Very user-friendly and greatly loved by student researchers as well. Review collected by and hosted on G2.com.
The learning curve for Matlab in general is quite steep, but those who are familiar with any programming language should be able to pick it up quickly. Our university offers it for free to students and faculty, otherwise the cost of the products is high (if purchasing for personal use). Especially, the company charges an annual maintenance fee for some of their products which means you have to keep paying them even after you purchased the product from them. I wish it were more affordable for more widespread use. I am not using the product at the moment and looking at some cheaper alternatives instead. Review collected by and hosted on G2.com.
Best for automation the process like document detection and selection where using this toolbox we can recognize document pattern and using regular expression we can automate the process of filling forms. Review collected by and hosted on G2.com.
You cannot apply the model bindly ,a mathematical and algorithmic base is required Review collected by and hosted on G2.com.
Helpful for research. Reduces a lot of code needed for implementation. Review collected by and hosted on G2.com.
Can have more detailed documentation or tutorial. Review collected by and hosted on G2.com.
The various algorithms present in the toolbox for machine learning and pattern recognition. Review collected by and hosted on G2.com.
The toolbox is a little complex to understand and use. Review collected by and hosted on G2.com.
The package is designed not only to be easily read, but also to be easily used to facilitate ML research. I've used several in my paper. Review collected by and hosted on G2.com.
Nothing so far - maybe no guarantees for prompted updates? Review collected by and hosted on G2.com.
