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ML Scratch

Introduction

suraj47 profile image Suraj J ・1 min read

What is Machine Learning?

Machine Learning is an application of Artificial Intelligence(AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. This involves the task of learning from data with specific inputs to the machine.

It’s important to understand what makes Machine Learning work and, thus, how it can be used in the future. This blog helps in understanding each concept of ML from basics and mathematics associated with it. Math concepts are the integral part of ML.

What is ML-Scratch?

ML-Scratch is an organisation that focuses on teaching machine learning algorithms from the primitive level.

We provide detailed explanation of different concepts, such that one can code from the start (scratch, as we say) without using any imported functions.

Read On πŸ“

  1. MLS.1 Linear Regression
  2. MLS.1.a Concepts for Linear regression
  3. MLS.1.b Gradient Descent in Linear regression

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