introduction to machine learning Archives

Supervised Learning

What is Supervised Learning ? Supervised learning is a cornerstone of machine learning, where the goal is to learn a function that maps an input to an output based on example input-output pairs. It figures out a rule from labeled training information. This data includes a bunch of examples where each one has an input and the correct output. In the realm of supervised learning, two primary tasks stand out: regression and classification. These tasks are tackled with various algorithms, each with its strengths and applications. Regression and Classification in machine learning At its core, regression

Introduction to Machine Learning

At the core of modern technological advancements lies a transformative concept: machine learning. This revolutionary field empowers computers to learn from data, enabling them to make decisions, recognize patterns, and generate insights without explicit programming instructions. From personalized recommendations on streaming platforms to optimizing supply chains, machine learning has permeated various aspects of our lives, reshaping industries and opening up unprecedented possibilities. The Language of Machine Learning Diving into the world of machine learning, one encounters a new lexicon. Terms like “algorithm,” “model,” “training data,” and “inference” become part of your everyday vocabulary. An algorithm is

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Supervised Learning

Introduction to Machine Learning

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