Is ML.NET Kit Better than PYTHON

ML.Net

When thinking about data science and Machine learning, the first programming language that comes to mind is Python. Over the last decade, Python has become the industry standard for machine learning algorithms, preprocessing techniques, and much more, making it the ultimate language for solving machine learning problems.

When thinking about data science and Machine learning, the first programming language that comes to mind is Python. Over the last decade, Python has become the industry standard for machine learning algorithms, preprocessing techniques, and much more, making it the ultimate language for solving machine learning problems.

What is ML.NET?

ML.NET is Microsoft’s latest and first-ever Machine Learning library that runs on the existing version of .NET. The ML.NET kit can be used alongside any .NET compatible language, including C#. Probably one of the greatest benefits of introducing Machine learning as a library rather than a framework is that the dependency for Python has been completely removed. The kit is super easy to use and compatible with older versions of .NET as well. Currently, ML.NET provides deep learning, linear regression, clustering, logistic classification, and many other machine learning algorithms.

One feature that makes ML.NET stand out from its contemporaries is its introduction of Auto-ML. Users can utilize Auto-ML to quickly build basic ML solutions by only specifying the problem and providing the relevant data.

Comparison with Python

Python is without a doubt the most popular language for machine learning and artificial intelligence. Python’s elegant and easy syntax makes it highly understandable for new users. However, the true strength of Python lies in its wide array of libraries that are available for almost every conceivable task.
When starting off with machine learning, it is mandatory for users to have a certain degree of expertise with Python.

Python offers various software choices for machine learning including NumPy, Tensorflow, SciPy, Apache Spark, PyTorch, Keras, and many more. Because of this golden standard, Python is considered to be the perfect language for machine learning.

When it comes to ML.NET and C#, functionalities and features are very limited. Microsoft’s ML.NET Kit has support for both .NET languages and Python, but it’s Python API far outshines the former. As it currently stands, ML.NET is still under development and requires drastic changes to its performance and functionalities before it can compete against mainstream machine learning languages such as Python and R.

Verdict

My personal verdict is that Python is still the preferred language for programming machine learning solution, however, Users should also keep a close look out for ML.NET kit. Learning both of these languages may be the best way to go. Once you are proficient in both languages, you will have a considerable amount of command over machine learning which will undoubtedly help your resume stand out amongst the crowd.

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