GDSC IIT Indore

Ever used python libraries like scikit-learn or TensorFlow, Keras, and PyTorch? Ever wondered what lies beyond the one line of code that initiates the Model? Ever wondered how the data is stored and processed in a model? Today, we will explore the realms of data structures used to implement different machine-learning models and see what importance it holds in machine learning and deep learning. Deep Learning requires much math, and we need methods to optimally perform this math in the lowest time and space complexity possible. We try to do this using parallel computation and changing the for loops into matrix multiplications running parallelly across multiple processors or GPUs. This is used to increase efficiency.  Data is the most important part of any machine learning or deep learning problem. From the data loading to the prediction, every step uses one or the other data structure, giving us the least possible time complexity. The need of the hour is to make our data loaders muc...