Machine Learning for Non-Specialists — Part 1

Machine Learning for Non-Specialists — Part 1

Photo by Possessed Photography

Introduction

Put simply, Machine Learning is a process of using a code (an algorithm, also called a Model) to train on existing data to produce another code (a Trained Model) that can make predictions on new incoming data. Confusing? Don’t worry! This blog post is to debunk the concept of Machine Learning for…

Continue Reading Man S Chawla’s Article on their blog

Machine Learning for Non-Specialists - Part 1

The end goal is not to produce a trained model that predicts well on new data. A well-trained model is only an enabler to achieve the end goal, which is to create value for the end consumer. Hence knowing that value should be our first job.

Blog Syndicated with Man S Chawla’s Permission

Author: Kieran Holmes

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