Tiya VajFeature discretizationFeature discretization is a process in machine learning and statistics where continuous variables are transformed into discrete variables…2 min read·1 day ago----
Tiya VajDifferences between training set and validation setThe training set and the validation set are two distinct subsets of the dataset used in machine learning for different purposes:3 min read·3 days ago----
Tiya VajRegularizationRegularization techniques are indeed used to penalize the complexity of a model by adding a penalty term to the loss function. This penalty…2 min read·3 days ago----
Tiya VajUnderfittingUnderfitting occurs when a machine learning model is too simple to capture the underlying structure of the data. In other words, the model…2 min read·3 days ago----
Tiya VajBias-variance tradeoffThe bias-variance tradeoff is a fundamental concept in machine learning and statistics that refers to the balance between the bias and…3 min read·3 days ago----
Tiya VajEEG analysis relies on using different frequencies to extract meaningful information about brain…Brainwaves and Frequency Bands: The electrical activity measured by EEG recordings exhibits variations in frequency. These variations are…2 min read·5 days ago----
Tiya VajWhat is the activation function?In a neural network, the activation function acts like a gatekeeper, deciding how much information a neuron should pass on to the next…2 min read·6 days ago----
Tiya VajWhat is the job of hidden layers in a Neural Network?Hidden layers are the secret sauce that makes neural networks so powerful. Unlike the input layer that receives raw data and the output…2 min read·6 days ago----
Tiya VajNeuromorphic computingNeuromorphic computing is a field of computer science inspired by the structure and function of the human brain. Unlike traditional…3 min read·6 days ago----
Tiya VajMoore’s LawMoore’s Law is the observation that the number of transistors on a microchip doubles about every two years, leading to exponential growth…1 min read·6 days ago----