Click the above“Beginner’s Guide to Vision”, select to add a bookmark or “pin” Heavyweight content delivered at the first time Source: Wenjiqi Dance This article is about 6400 words and is recommended to read in 15 minutes. This article introduces 20 must-know automated machine learning libraries. AutoML refers to automated machine learning. It explains how … Read more
Source: Intelligent Accounting Alliance This article is approximately 2200 words long and is recommended for a reading time of 9 minutes. This article will guide you through five aspects of getting started with machine learning: What is machine learning? What is the workflow? What machine learning algorithms are available? Model evaluation learning, and Azure machine … Read more
Improved LSTM-Based Stock Prediction Method Authors: Fang Hong¹ Han Xingyu² Xu Tao³ (1. Shanghai Second Polytechnic University, School of Humanities and Sciences 2. University College London, Department of Computer Science) Source: Journal of Anhui University (Natural Science Edition) 2019.43(6):36-42 Abstract In response to the common lag issue of Long Short-Term Memory (LSTM) networks in stock … Read more
A public academic platform initiated by overseas scholars Sharing information, integrating resources Exchanging academics, occasionally discussing literature High-performance piezoelectric ceramics are a crucial type of material in modern electronic devices. In pursuit of sustainable development, traditional lead-based piezoelectric materials dominated by PbZr1−xTixO3 (d33 ≈ 200-1500 pC/N) are gradually transitioning to lead-free piezoelectric ceramics based on … Read more
▲Click the above Leifeng Network to follow To some extent, the greatest advantage of deep learning is its ability to automatically create features that no one would think of. Now, deep learning has a place in many fields, especially in computer vision. Although many people are fascinated by it, the deep network is essentially a … Read more
Click the top to follow us! XGBoost Feature Engineering: From Beginner to Expert Recently, I’ve been diving into XGBoost and found that feature engineering is indeed a profound subject. This thing can be said to be the lifeline of model performance; if done poorly, all efforts can be in vain. Today, let’s chat about the … Read more
Core Points:Complete Summary of XGBoost Core Issues! Hello, I am Cos Dazhuang! Today I will share content about XGBoost~ XGBoost is very important, especially excelling in classification, regression, and ranking problems. Its practical applications include financial risk control, medical diagnosis, industrial manufacturing, and advertising click-through rate prediction. With its efficient performance and robustness, XGBoost has … Read more
This article will cover three aspects of one-hot encoding: the principle of one-hot encoding, its classification, and its applications. One-Hot Encoding . One-Hot Encoding 1. The Principle of One-Hot Encoding Feature Digitization: Converts categorical variables (also known as discrete features, unordered features) into a format suitable for machine learning algorithms. Feature Digitization Creates a new … Read more