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:
- 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.
I hope this helps.
