Posts
-
Decoding LLM Metrics - A Mathematical Dive into Model Evaluation 🧮📊
Finding out best model is always a crucialtask, because just because of using wrong/improper evaluation metric we may sometimes end up with missing out best model that is performing out there!
GenAI LLM Evaluation Metrics -
Difference Between nn.Parameters and nn.Linear
Difference Between nn.Parameters and nn.Linear
Tags:PyTorch -
Activation Functions
Activation functions are used to introduce non linearity in the model.
DeepLearning Activation Functions -
Recurrent Neural Networks
RNN is popularly used to train on sequential data, sequential may be a sequence of words i.e sentences, sequential may be time series data or sequential may sequence of pixels.
Tags:Sequential DeepLearning Rnn -
Decision Trees
Important Terminology
1. Root Node: The starting node of the tree.
Tags:Machine Learning Ensemble Models -
Difference Between .iloc and .loc in Pandas
Even though we can access the pandas data frame by the normal way (dataframe<column_name>.[index], we have another two ways to access the data frame.
Pandas DataFrame