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Supplementary Material on Hyperplanes in Machine Learning In my work “Mathematical Foundations of Machine Learning”, pages 285-286, based on the Bernoulli distribution, the logistic function is derived, resulting in equation (5.3.16) on page 286: Applying this equation to explore linear discriminant analysis, it represents a line in two-dimensional space, and in multi-dimensional space, it becomes … Read more
ClickBlueTextFollow Us In today’s digital age, machine learning, as an important branch of artificial intelligence, is receiving increasing attention. Python, with its concise syntax and rich libraries, has become a widely used programming language in the field of machine learning. Today, we will discuss the basics of Python machine learning, covering some essential algorithms and … Read more
1. Introduction: Inferring from Clues Hello everyone! Imagine you are a detective investigating a case. You would infer who the suspect is based on various “clues” left at the scene (such as fingerprints, footprints, eyewitness descriptions, etc.). The Naive Bayes algorithm acts like a “probability detective”; it predicts the likelihood of an event occurring based … Read more
Generally, BCO provides a good option for maximizing oil production in brownfields, allowing access to remaining oil targets after existing completions. Proper BCO maturity, including small reservoir unit analysis, can yield high returns and low-risk projects to acquire cheap oil at low cost. Unfortunately, the lack of appropriate resources, such as potential manpower and budget … Read more
A system—whether an organism, enterprise, company, or computer program—spends effort feeding back past events to the present because it is a more economical approach for the system to respond to the future. To foresee the future, one must understand the past.. — Kevin Kelly, “Out of Control” This statement also applies to the field of … Read more
LightGBM: The Rising Star of Fast Machine Learning! Hello everyone, I am an experienced Python tutorial author. Today we will learn about an exciting machine learning library – LightGBM. With its extremely fast training speed and excellent performance, it is highly sought after in the field of data science. Let’s explore the magic of LightGBM … Read more
Continuous casting is an important link in steel production, and its process parameters directly affect the quality of the casting and the economic benefits of enterprises. However, the continuous casting production involves complex nonlinear heat transfer and mass transfer processes, and traditional numerical simulation and laboratory testing optimization methods are inefficient and difficult to meet … Read more
Scikit-learn: A Powerful Assistant for Building Machine Learning Models To be honest, I have always found machine learning quite mysterious, it sounds very sophisticated. However, since I encountered the Scikit-learn library in Python, I realized that machine learning is not that scary! Today, let’s talk about this super handy tool and see how it helps … Read more
Getting Started with Comet for ML Experiments Hello everyone, I am an experienced Python tutorial author. Today we will learn how to use Comet to better organize and manage machine learning experiments. Comet is a fantastic tool that helps you track experiment parameters, metrics, model weights, etc., making your machine learning projects well-organized. Let’s get … Read more
With the rapid development of artificial intelligence and data science, machine learning has become one of the important technologies for solving practical problems. Among the many Python machine learning tools, Scikit-learn stands out as a preferred tool for developers and data scientists due to its ease of use and powerful features. Whether for developing prototypes, … Read more