NVS Yashwanth – Medium

NVS Yashwanth

NVS Yashwanth
in
Towards Data Science

Evaluation metrics & Model Selection in Linear Regression

Demystifying the most common metrics and model selection methods

Oct 7, 2020

Evaluation metrics & Model Selection in Linear Regression

Oct 7, 2020

NVS Yashwanth
in
Towards Data Science

What is Amazon EC2 and how to use it?

Train your models with GPU instances on the AWS cloud.

Oct 1, 2020

What is Amazon EC2 and how to use it?

Oct 1, 2020

NVS Yashwanth
in
Towards Data Science

Street View House Number Generation Using DCGAN

Generating new images of house numbers with DCGANs

Sep 25, 2020

Street View House Number Generation Using DCGAN

Sep 25, 2020

NVS Yashwanth
in
Towards Data Science

Celebrity Face Generation With Deep Convolutional GANs

Generating new images of faces with DCGANs

Sep 24, 2020

Celebrity Face Generation With Deep Convolutional GANs

Sep 24, 2020

NVS Yashwanth

Things you should know before writing for Medium publications

Having patience and keeping it original is the key

Sep 22, 2020

Things you should know before writing for Medium publications

Sep 22, 2020

NVS Yashwanth
in
Towards Data Science

What is Bias-Variance Tradeoff?

Avoid the mistake of overfitting and underfitting

Sep 21, 2020

What is Bias-Variance Tradeoff?

Sep 21, 2020

NVS Yashwanth
in
Towards Data Science

Generative Adversarial Networks

Understanding the GAN game with MNIST

Sep 19, 2020

Generative Adversarial Networks

Sep 19, 2020

NVS Yashwanth
in
Towards Data Science

What is batch normalization?

How does it help?

Sep 18, 2020

What is batch normalization?

Sep 18, 2020

NVS Yashwanth
in
Towards Data Science

Why convexity is the key to optimization

It is easy with convex cost functions

Sep 9, 2020

Why convexity is the key to optimization

Sep 9, 2020

NVS Yashwanth
in
Towards AI

How are learning Curves helpful?

Evaluating machine learning models the right way

Sep 5, 2020

How are learning Curves helpful?

Sep 5, 2020

NVS Yashwanth

NVS Yashwanth

A decision analyst with a keen interest in AI. When I don’t code, I try to understand the math behind neural nets.

Following

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams