Machine Learning Author: louwill Machine Learning Lab Although deep learning is currently very popular, Boosting algorithms represented by XGBoost, LightGBM, and CatBoost still have a wide range of applications. Setting aside deep learning applications suitable for unstructured data such as images, text, speech, and video, Boosting algorithms are still the first choice for structured data … Read more
Click on the above “Beginner’s Guide to Vision” to select Star or Top for heavy content delivered first Author: Xi XiaoyaoFrom: Xi Xiaoyao’s Cute Selling HouseForeword Although tuning parameters alone is no longer a hot topic in deep learning, if you can’t even tune parameters, you might not even get a taste of the soup. … Read more
This article will explain in detail the introduction, functionality, and value ranges of the ten most commonly used hyperparameters in XGBoost, and how to use Optuna for hyperparameter tuning. For XGBoost, the default hyperparameters work fine, but if you want to achieve the best performance, you need to adjust some hyperparameters to match your data. … Read more
Source: Machine Learning Grocery Store This article is approximately 1800 words long and suggests a reading time of 10 minutes. One of the most challenging parts of the ML workflow is finding the best hyperparameters for the model. The performance of ML models is directly related to hyperparameters. Introduction Wikipedia states, “Hyperparameter optimization or tuning … Read more
Machine Learning Author: louwill Machine Learning Lab Although deep learning is currently dominant, Boosting algorithms represented by XGBoost, LightGBM, and CatBoost still have a wide range of applications. Excluding the unstructured data applications suitable for deep learning, such as images, text, speech, and video, Boosting algorithms remain the first choice for structured data with fewer … Read more
Today, let’s talk about OCR, which stands for Optical Character Recognition. This term may sound a bit technical, but it’s not far from our daily lives. Imagine when you need to extract text from images or screens at work; OCR acts like an invisible assistant, helping you complete this task without the need for tedious … Read more
When it comes to RPA (Robotic Process Automation), its history is not short. Early RPA was primarily used for automating fixed, rule-based processes, such as logging into systems at scheduled times, downloading files, filling out forms, and sending reports. These tasks share a common characteristic: they are repetitive, tedious, and completely procedural. Using RPA for … Read more
The application of AI Agents is reshaping the workflow and decision-making models of enterprises. Industry pioneers from Microsoft, China Mobile Online, Luma Technology, and 360 gathered to discuss how three cutting-edge AI Agent products and solutions from Laiye Technology—Digital Employee Development Assistant, Knowledge Management and Q&A Assistant, AI Document Review Assistant—become the three innovative tools … Read more
Click on the “AI有道” above to select the “Star” public account Heavyweight content delivered first-hand This article is adapted from DataWhale Training techniques are very important for deep learning. As a highly experimental science, the same network structure trained with different methods can yield significantly different results. Here, I summarize my experiences over the past … Read more
From | DataWhale Training techniques are very important for deep learning. As a highly experimental science, even the same network architecture trained with different methods can yield significantly different results. Here, I summarize my experiences from the past year and share them with everyone. I also welcome additions and corrections. Parameter Initialization Any of the … Read more