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
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
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
Honestly, every time I write machine learning code with Scikit-learn, I feel an inexplicable thrill. This library is like our helpful assistant, wrapping complex machine learning algorithms in a simple and easy-to-use way, allowing us to focus on solving real problems rather than getting bogged down in the details of algorithm implementation. Installation and Import … Read more
In today’s digital age, machine learning is truly a hot topic. It acts like an intelligent assistant, helping us mine valuable information from vast amounts of data to make accurate predictions and decisions. With its simple and readable syntax and rich libraries, Python has become an excellent tool for implementing machine learning algorithms. Today, let’s … Read more
Scikit-learn: Getting Started with Machine Learning! Hello, today we are going to learn about a very powerful machine learning library in Python – Scikit-learn. Whether you are a beginner or an experienced developer, Scikit-learn can help you quickly implement various machine learning algorithms, making machine learning as easy as pie! What is Scikit-learn? Scikit-learn is … 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
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
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
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