Dear Atul Kumar Dwivedi
Both Python and MATLAB have their strengths and weaknesses for machine learning, and the choice between the two will depend on your specific requirements and preferences. However, due to its rich ecosystem and community support, Python has become the more popular choice for machine learning in recent years.
Regards
Both Python and MATLAB are popular programming languages used for deep learning. However, Python is more widely used for deep learning due to its flexibility, ease of use, and extensive libraries for machine learning, such as TensorFlow, Keras, PyTorch, and Scikit-learn.
Python also has a large community of developers contributing to developing libraries, frameworks, and tools for machine learning, making it easier to find support and resources.
On the other hand, MATLAB has a long history of being used in scientific and engineering research. It has a robust set of built-in data analysis and visualization tools, which I have found good functionality for signal analysis. MATLAB also has a deep learning toolbox that provides a convenient interface for developing and training deep neural networks.
In summary, I agree with the above comments; both languages have their strengths and weaknesses, and the choice between them ultimately depends on the specific needs and requirements of the project. However, due to the popularity and versatility of Python, it is my preferred choice for deep learning applications.
Booths are the best tools for computing, coding or data analysis. MATLAB is definitely far better, but it is not FREE. Consequently, Python is accessible to everyone with big use, and much better for students under budget.
It depends on some scenarios:
1. Python is very popular, as it's free, and with tons of open-sourced libraries, Python has become the most popular language for ML/DL and Data Science.
So, if you have a dataset already, and you want to do some R&D by applying various kinds of analysis and implementations of ML/DL algorithms, Python would be great.
2. MATLAB, on the other hand, is not free for professionals (although, MATLAB provides free licenses to students and academians). Many-a-times a researcher needs to build a simulation model, collect data, and then perform R&D on the generated synthetic data. In this case, MATLAB-based libraries would be easy to integrate.
However, there are also ways to integrate MATLAB-based simulation models with Python-based libraries, but it sometimes causes potential bug fixing and data leakage.
So I would recommend thinking about the use case and then deciding which language to use.
I hope the answer helps.
In general, Python is preferred for larger and more complex machine learning projects due to its scalability and the availability of a wide range of libraries and frameworks. Python is also the preferred choice for deep learning due to its support for popular deep learning frameworks such as TensorFlow and PyTorch.
On the other hand, MATLAB is often preferred for smaller projects or projects that require a quick turnaround time, as it has a user-friendly interface and provides extensive support and documentation.
Ultimately, the choice between Python and MATLAB for machine learning depends on the specific requirements of the project and the user's familiarity with the language and tools. Both Python and MATLAB are powerful tools for machine learning and can be used effectively for a wide range of applications.
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