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Linear Regression is a foundational algorithm for machine learning and statistical modeling. Traditionally, Linear Regression is the very first algorithm you'd learn when getting started with predictive modeling.

3K views | Do you trust machine learning (ML) models in for your work? Jon Stokes, Trey Ideker, and Veronica DeFelice discuss how the need to understand a ML model’s reasoning varies by scientific context. . . . Did you miss this roundtable webinar from June? It's available to watch on-demand, here: https://www.the-scientist.com/research-roundtable-the-artificial-intelligence-revolution-72963 | The Scientist | Facebook

3K views | Do you trust machine learning (ML) models in for your work? Jon

🎯 THE MATH ROADMAP FOR DATA SCIENCE! Ever wondered what kind of math you actually need to master for Data Science? 🤔 � Here’s your step-by-step roadmap — and this cheatsheet covers every piece of it 🔥 📘 1️⃣ Sets & Functions� Start with the basics — sets, unions, intersections, and functions.� You’ll need this to understand how data points relate to each other. 🧮 2️⃣ Linear Algebra� This is the backbone of every machine learning model.� 👉 Learn about matrices, vectors, dot products, eigenva

🎯 THE MATH ROADMAP FOR DATA SCIENCE! Ever wondered what kind of math

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