With the help of machine learning systems, we can examine data, learn from that data and make decisions.

There are several Machine Learning Software that is available in the market. Enlisted below are the most popular ones among them.

Machine Learning            Tools

Azure Machine Learning is a cloud platform that allows developers to build, train, and deploy AI models. Microsoft is constantly making updates.......

1. Microsoft Azure

Watson Machine Learning is an IBM cloud service that uses data to put machine learning and deep learning models into production. 

2. IBM Watson

TensorFlow, which is used for research and production at Google, is an open-source software library for dataflow programming.

3. TensorFlow

PyTorch is an open-source machine learning library that is widely used for deep learning tasks. It was developed by Facebook's artificial intelligence....

4. PyTorch

Scikit-learn is like a library packed with books on ML. But instead of books, it has algorithms – the rules that teach computers.

5. Scikit-learn

Keras is an API for neural networks. It helps in doing quick research and is written in Python.

6. Keras

With the help of the Python package Theano, you can effectively define, optimize, and assess mathematical statements using multi-dimensional arrays. 

7. Theano

RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.

8. RapidMiner

Weka is a popular open-source machine learning tool that provides a collection of algorithms for data preprocessing, classification.


Perhaps becoming better-trained machine learning training will give you the power to make a more informed decision.