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How to Learn Mathematics For Machine Learning?
Explore the correlation between mathematics and machine learning. Learn the fundamental math concepts & their applications in DS, ML, and AI.
Ananya Chakraborty 16 Jun, 2025
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Complete Guide to Point Estimators in Statistics for Data Science
Post Estimators are important concepts of the Estimation Theory. Learn about properties of point estimators and its importantance
Aashi 08 Jun, 2021
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Guide For Loss Function in Tensorflow
Tensorflow loss functions is also called an error function or cost function. Learn about loss function in tensorflow and its implementation. Explore Now!
Pravin 04 Dec, 2023
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Bayesian Decision Theory – Discriminant Functions For Normal Density(Part 4)
In the final article, we will look at the discriminant functions for normal density under various considerations in Bayesian Decision Theory.
Chirag Goyal 08 Jun, 2021
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Gradient Descent Algorithm : Understanding the Logic behind
Gradient Descent is an iterative algorithm used for the optimization of parameters used in an equation and to decrease the Loss .
abhijit 08 Jun, 2021
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Bayesian Decision Theory – Discriminant Functions and Normal Density(Part 3)
in this article, we will cover some new concepts including Discriminant Functions and Normal Density in Bayesian Decision Theory.
Chirag Goyal 31 May, 2021
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Statistical Modelling and Identifiability of Parameters
statistical modelling is the process of using observable data to capture the truth. It's goal is to understand as much reality as possible.
Naman 27 May, 2021
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Gradient Descent From Scratch
In this article, we will explain what is Gradient descent from scratch, why it is important, and pick you up with simple math examples.
Raghav Agrawal 24 Oct, 2024
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Simplifying Maths behind Principal Component Analysis
In this article, we will discuss the basic maths behind PCA with python implementation from scratch for data science beginners
Himanshu 25 May, 2021
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Detailed Guide To Bayesian Decision Theory – Part 2
Now, in this article, we will be going through some of the advanced concepts for the Bayesian decision theory for data scientists
Chirag Goyal 25 May, 2021
