What is the best language for machine learning?
It’s best to analyze Codete’s comparison of the best options available to programmers and data scientists right now. First of all, TensorFlow. It is an absolute leader, the most widely used and fastest growing system of machine learning. Tensorflow was created by Google and was originally written in Python, but is now available in almost all popular programming languages, which is a huge advantage. Keras was ranked second in the ranking. It is a user-friendly and intuitive, high-level library of neural networks written in Python, which can be used to build and train state-of-the-art machine learning models. One of the most important advantages of Keras is that it can be run on TensorFlow or other libraries such as Theano or Microsoft Cognitive Toolkit.
Other equally good options available on the market
One of the other options that is as good as the other is Scikit-learn. This is another well-known, open source machine learning library for Python. Scikit-learn supports an impressive number of popular machine learning algorithms and models that can be used for grouping, regression, classification and more. As you can see, just do a good overview and choose the best option for you.