(Migrated from old blog) One of the method of optimization that sometimes yield good results are is widely used in Support Vector Machines Optimization Objective First, Let’s read a little about...
A beginners guide to regularization
(Migrated from old blog) If your dataset is overtrained i.e it has high variance then one of the possible ways to reduce that is either to get more training data which sometimes can be very costly...
Train, test, dev split and bias v/s variance
(Migrated from old blog) So we want to train our machine learning algorithm or a deep learning model, what we generally do (old school approach) is to split the data set into 70-30 percent and cal...
Introduction to gradience descent (a beginner's guide)
(Migrated from old blog) To understand about this topic you should ideally read this post about neural networks and its formulas because I will be continuing from there so first check out this lin...
Introduction to neural networks
(Migrated from old blog) For those who read my logistic regression article, a neural network is somewhat kind of a similar thing with multiple layer architecture, even if you did not read not a bi...
Topic modelling (before LLMs)
(Migrated from old blog) As the name suggests topic modeling refers to the determination of the topic of the text. Imagine creating a news platform where the news that comes is automatically categ...
Logistic regression - the math behind it
(Migrated from old blog) Logistic Regression, unlike Linear Regression, does not output a numerical value but instead outputs a classified output, for example, it can tell whether an email is Spam...
NLP coding basics (before LLMs)
(Migrated from old blog) This is from the video tutorials of sentdex : I am just like you trying to learn things so I will be sharing my code here with you all. For a better explanation, see the...
Machine Learning Theory
(Migrated from old blog) We will talk about a lot of theory in this post. So, Machine Learning: A machine is said to be learning when with some E experience with respect to some task T an...
A basic Markov model for NLP
(Migrated from old blog) Alrighty, So This is something technical. Let’s talk about Markov chain theory. What is it? it sounds very technical xD Okay. Let me hit you with Wikipedia Hard definitio...