• Hetvi shah
• Kavita pandya

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without being explicitly programmed automatically and deep learning is a branch of machine learning that is based on artificial neural network architecture. An artificial neural network, or ANN, uses layers of interconnected nodes called neurons that work together to process and learn from the input data. however with the help of multimodel data in ML/DL make task more efficient and easy to manipulate with bulk data. Multimodal learning in machine learning is a type of learning where the model is trained to understand and work with multiple forms of input data. Multimodal machine learning is the study of computer algorithms that learn and improve performance through the use of multimodal datasets in various real-world applications.

AI, ML and DL, Multimodel data applications

"A Survey on the usage of Multimodel Data in ML/DL: Application and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.f705-f712, June-2024, Available :http://www.jetir.org/papers/JETIR2406578.pdf

"A Survey on the usage of Multimodel Data in ML/DL: Application and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppf705-f712, June-2024, Available at : http://www.jetir.org/papers/JETIR2406578.pdf