Analytics Vidhya

JANUARY 30, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents What is Neural Network Types of Neural Networks Types of Learnings How does a Neural Network work Endnotes What are Neural Networks? Neural networks are used to mimic the basic functioning of the human brain and are inspired by how the […]. The post Introduction to Neural Networks appeared first on Analytics Vidhya.

Data Science 283

Data Science Publishing Analytics Machine Learning 283

Analytics Vidhya

JANUARY 30, 2022

This article was published as a part of the Data Science Blogathon. What is KNN? KNN also called K- nearest neighbour is a supervised machine learning algorithm that can be used for classification and regression problems. K nearest neighbour is one of the simplest algorithms to learn. K nearest neighbour is non-parametric i,e. It does not […].

Machine Learning 271

Machine Learning Data Science Publishing Analytics 271

Analytics Vidhya

JANUARY 30, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents Gradient Descent Importance of Non-Linearity/Activation Functions Activation Functions (Sigmoid, Tanh, ReLU, Leaky ReLU, ELU, Softmax) and their implementation Problems Associated with Activation Functions (Vanishing Gradient and Exploding Gradient) Endnotes Gradient Descent The work of the gradient descent algorithm is to update […].

Data Science 270

Data Science Publishing Analytics Machine Learning 270

Analytics Vidhya

JANUARY 30, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Decision Tree 3. Terminologies 4. CART Algorithm 5. Calculating Information Gain 6. Implementation 7. Conclusion Introduction This article is on the Decision Tree algorithm in Machine Learning. In this article, I will try to cover everything related to […].

Machine Learning 267

Machine Learning Data Science Publishing Analytics 267

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