May 15

Entropy and Information gain

Some moments occur when we notice that we have seen this term somewhere and we don’t remember what it exactly means. Entropy and information gain belong to the same categories of terminologies. We will try to understand entropy and information gain in a very simple and uncomplicated way. A basic understanding of the decision tree is required to understand these two terminologies. If you haven’t yet seen what is a decision tree, that really cool you are at the right address, you’ll take away something memorable from here.

Data Science

1 min read

Entropy and Information gain

Some moments occur when we notice that we have seen this term somewhere and we don’t remember what it exactly means. Entropy and information gain belong to the same categories of terminologies.

We will try to understand entropy and information gain in a very simple and uncomplicated way. A basic understanding of the decision tree is required to understand these two terminologies. If you haven’t yet seen what is a decision tree, that really cool you are at the right address, you’ll take away something memorable from here.

For full content do visit amitnikhade.com

Feb 6

Shout out to GAN (Start ver.)

Writing after a long time, Here’s the basic + in-depth explanation of Generative adversarial networks and Style-Based Generative Adversarial networks. This explanation will resolve all your doubts regarding GANs, as we know understanding GANs is a bit confusing. Do Visit: amitnikhade.com Introduction GAN is simply a generative model that generates new data from the input data. They are used to perform unsupervised operations. They work majorly with image data and also audio data. The Generative adversarial networks consist of a generator and a discriminator. Both are kinds of neural networks that compete with each other. GANs are very computationally expensive with a requirement of extremely high-end GPUs and lots of time to get trained.

Gans

1 min read

Shout out to GAN (Start ver.)

Do Visit: amitnikhade.com

Introduction

GAN is simply a generative model that generates new data from the input data. They are used to perform unsupervised operations. They work majorly with image data and also audio data. The Generative adversarial networks consist of a generator and a discriminator. Both are kinds of neural networks that compete with each other. GANs are very computationally expensive with a requirement of extremely high-end GPUs and lots of time to get trained.

For complete version visit: amitnikhade.com

Dec 23, 2021

Logistic regression (Lucid Explanation)

Let’s understand the logistic regression without any elaboration and in a short manner, that won’t waste your time rather than it will deliver you just the needed information. So don’t even have a cup of coffee with you, before sipping the coffee you’ll grasp logistic regression. Introduction Logistic regression is the…

Logistic Regression

1 min read

Nov 18, 2021

Linear regression (No loitering)

Let’s understand the linear regression without any elaboration and in a short manner, that won’t waste your time rather than it will deliver you just the needed information. That will help you to grasp the linear regression and would also make your way easy to know logistic regression. What you will learn An overview of the basics. Working Cost function Gradient Descent Assumptions Implementing in python from scratch

Linear Regression

1 min read

Linear regression (No loitering)

What you will learn

An overview of the basics.
Working
Cost function
Gradient Descent
Assumptions
Implementing in python from scratch
Metrics in linear regression

Are you eligible for data science?

Here is all you need to hit on data science, machine learning, etc in a flawless manner. Starting might sense difficult, but if directed properly, it may lead to wonders. The same happens with people who start learning data science and machine learning. People just directly dive into the actual…

Data Science

6 min read

Published in MLearning.ai

·Sep 21, 2021

Question-Answering in association with roBERTa

Take a sip of chaii and refresh your mood with chaii — Hindi and Tamil Question Answering By google. amitnikhade.com Introduction May God bless you with all the data structure skills. Transformers have been revolutionary models that yield state-of-art variants like BERT, GPT, mt5, T5, tapas, Albert, Robert, and many more from…

Kaggle

12 min read

Question answering in association with roBERTa

Published in Towards Data Science

·Jul 14, 2021

Let’s Start a Music Production House

WaveNet by Google DeepMind, the time is now. Generating Audio with WaveNet — Music is the language of the spirit. It opens the secret of life bringing peace, abolishing strife. -Kahlil Gibran One of the most awaited and willful features was the interaction with machines in a natural form, similar to how human beings make conversations. Deep learning has been an efficacious field…

Wavenet

7 min read

Published in Analytics Vidhya

·Jul 9, 2021

Let’s break the encryption

Shor’s Algorithm exposed/simplified/clarified with a quick overview. — Once you read this article, you’ll get a clear overview of how exactly Shor's algorithm works. I tried explaining it, without going into a much deeper section, because it will definitely confuse at the beginner stage. RSA breaching isn’t only the application of Shor’s algorithm but there are several use-cases…

Quantum Computing

8 min read

Published in Geek Culture

·Jul 1, 2021

Quantum neural networks | Effortless reading

We gonna explore Quantum neural networks (QNN) in a much simplified manner, covering all the fundamentals concepts that will create a grasping impact. I’ll try making you understand with least mathematics to get a better overview as a beginner. Amit Nikhade Introduction Artificial Neural Networks (ANN) has been a generous algorithm…

Quantum Computing

9 min read

Quantum neural networks | Effortless reading

Published in MLearning.ai

·Jun 24, 2021

Quantum Embedding | QML

Yes you, we are Itinerants, exploring quantum technology. Come along with me. Visit: amitnikhade.com In our last quantum ML post, we saw the fundamentals of Quantum machine learning and how can we get started with it. And surely we’ll be going to inspect each terminology in QML and hence here…

Quantum Computing

6 min read