Machine Learning: Algorithm Classification Overview
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Machine Learning: Algorithm Classification Overview
In Machine Learning, the classification of algorithms helps to not get lost in a variety of different approaches to problem solving. Read this guide to learn about the most common ML algorithms and use cases.
Jun 11, 2020
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🚀 What’s the difference between ML and AI? 🤖 Artificial intelligence (AI) and machine learning (ML) are changing the game when it comes to investing. With these technologies evolving at an unprecedented rate, it's no wonder investors are keeping a close eye on them. 🤔 So, what exactly is AI? It's the ability of a computer to handle complex tasks, like problem-solving and learning. Meanwhile, ML is a computer application that uses AI to find patterns and trends in complex data sets, without hu
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🚀 What’s the difference between ML and AI? 🤖 Artificial intelligence (AI) and
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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common Machine Learning Algorithms Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 1. Linear regression: Linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). 2. Logistic regression: Logistic regression is a classification algorithm utilized for probability pre
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Data Science | ML | AI Community 👩‍🏫 on Instagram: "📍Day 40: Most Common
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