- Statistics and Machine Learning Toolbox (https://www.mathworks.com/help/stats/): This toolbox will allow you to build machine learning models.
- Deep Learning Toolbox(https://www.mathworks.com/help/deeplearning/): You can design and implement neural network using this toolbox.
- Image Processing (https://www.mathworks.com/help/images/): If you are working with image data, this toolbox will offer image processing capabilities.
- Computer Vision Toolboxes(https://www.mathworks.com/help/vision/): This toolbox allows with computer vision capabilities.
- Reinforcement Learning Toolbox(https://www.mathworks.com/help/reinforcement-learning/): If you want to implement RL algorithms you can use this toolbox.
- Optimization Toolbox(https://www.mathworks.com/help/optim/): This is useful for solving optimization problems that arise in machine learning model training.
- Parallel Computing Toolbox(https://www.mathworks.com/help/parallel-computing/): This toolbox accelerates computations through parallel processing on multicore processors and GPUs, for large datasets.
Which toolbox are required for data science and machine learning?
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For purchasing the MATLAB software for which are the toolbox required for Data science, In my orgnization MATLAB software is required for Data Science and Machine Learning. We don't have any clue about the types of data. Could you guide us which toolbox are required to Data science and Machine Learning.
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Answers (1)
Jayanti
on 22 Oct 2024
Edited: Jayanti
on 22 Oct 2024
Hi Indu,
If you are uncertain about the type of data, you will work with. You can go for core toolboxes like the Statistics and Machine Learning Toolbox and Deep Learning Toolbox.
I am providing you a list of toolboxes you might need depending on your requirement:
I hope this helps.
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