Top 10 machine learning tools used in the industry
Knime is an open-source machine learning tool based on GUI. It doesn’t require knowledge of programming. It is used for data manipulation, data mining, etc.
Accord.net is a computational machine learning framework. It comes with an image as well as audio packages.
Scikit-Learn is a unified platform. It assists in regression, clustering, classification, dimensionality reduction, and preprocessing.
It is an open-source framework for large-scale as well as numerical ML. It's most prominent feature is, it that runs on CPU and GPU as well.
Weka is also an open-source software. Weka lets you access other machine learning tools like R, Scikit-learn, etc.
Pytorch is a deep learning framework. It is one of the most important tools of machine learning and is completely based on Python.
RapidMiner is a data science platform and has a very amazing interface. One can use their own data as well as test their own models.
Google cloud AutoML makes AI accessible to everyone. It provides the models which are pre-trained to the users. Eg. text recognition, speech recognition, etc.
Jupyter notebook is one of the most widely used ML tool. It supports three languages viz. Julia, R, Python.
It is launched by Microsoft. Just like, Google’s Cloud AutoML, this is Microsoft’s product which provides machine learning services to the users.
Selection of the tool depends on the requirement for the algorithm, expertise level, and the price of the tool. Know more about different tools in detail.