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Showing posts with the label Algorithms

The Algorithm : Musk's Mental Framework

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A Decision Tree Today’s post is inspired by Elon Musk, the captivating biography by Walter Isaacson. At 688 pages, it’s a deep dive into the mind and methods of one of the most transformative figures of our time. Over the past two weeks, I’ve spent my early mornings absorbing Musk’s journey—and it’s left me contemplating the driving force behind his success.  What is the “algorithm” that powers his extraordinary ventures? Though his leadership style is unconventional, it’s undeniably effective. Musk has co-founded revolutionary companies like PayPal, SpaceX, and Tesla, each of which has disrupted its industry and pushed boundaries.  But what makes him tick? What’s the underlying formula behind his ability to juggle ambitious goals, relentless innovation, and transformative leadership? The Algorithm: Musk's Mental Framework As detailed in Isaacson’s biography, Musk often speaks of a personal algorithm—a mental framework that guides his decision-making process.  The algorit...

Scheduling Algorithms

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Hickory Dickory Dock! Today's post is inspired by my sister (AKA Dr. Dan Dan), who recently asked me for help scheduling appointments for her patients. As a budding dentist, it's imperative for her to find patients and fit them into her already busy schedule. Sometimes, patients cancel, and she faces a swiftly approaching deadline. Just like a computer prioritizes tasks based on system resources, my sister must prioritize her patients based on the complexity of the procedure and the time available. For example, root canals require more time and expertise than a simple cleaning, much like certain programs demand more of a computer's memory and processing power. The Task Manager in your computer is a program that manages all the active processes, or tasks, running at any given time.  It prioritizes tasks based on importance, ensuring that the most immediate requests—like opening Google Chrome—are allocated more system resources. With that being said here are some common sched...

Algorithms: Linear Regression

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  y = mx + c: looks familiar, right? In my Data Analytics journey, I've chosen to revisit and explore algorithms commonly used in this field. Today, our focus is on linear regression: understanding its significance and limitations. Let's begin by unraveling the concept of 'Linear Regression' through a series of "dumb" questions: What is a line? A line consists of an infinite number of points that extend indefinitely in two opposite directions. What does it mean to be linear? In mathematics, linearity often refers to a relationship between variables that can be graphically represented as a straight line.  What is regression? Regression refers to a statistical method used to analyze the relationships between variables. Considering these explanations, we can define Linear Regression as the analysis of the relationship between two variables displayed along a straight line. Suppose we want to understand how traffic volume changes on a particular highway as Christma...