OPENCV & C++ TUTORIALS - 198 | Machine Learning | Logistic Regression скачать в хорошем качестве

OPENCV & C++ TUTORIALS - 198 | Machine Learning | Logistic Regression

🚀 Welcome to Tutorial 198 in our OpenCV & C++ Series! In this video, we dive into one of the most fundamental and widely-used machine learning algorithms: Logistic Regression. 📊🧠 Learn how to train and predict using cv::ml::LogisticRegression in C++, and understand the core idea of predicting probabilities for classification tasks. We’ll break down how logistic regression models work, why the sigmoid function is key, and how Maximum Likelihood Estimation helps in finding the best model parameters. You’ll also see practical coding examples, comparisons with other classifiers, and tips for when logistic regression is the right choice for your computer vision projects. Whether it’s binary classification, simple image recognition, or ML prototyping, logistic regression is a must-know tool! 🔍⚡ 🎯 What you’ll learn: How Logistic Regression works under the hood Training & prediction with cv::ml::LogisticRegression in OpenCV Understanding the sigmoid function & probability outputs Maximum Likelihood Estimation explained Comparing logistic regression with other classifiers like SVM & Bayes Step-by-step code walkthrough with real examples 📚 Perfect for: Developers learning OpenCV ML, beginners in C++ machine learning, and anyone exploring probabilistic classification for computer vision! 💻 Code + Theory + Demos = Deep Understanding 📌 Missed Tutorial 197? Check it out to see our previous ML topic on Normal Bayes Classifier! 🌠 LogisticRegression class: https://docs.opencv.org/4.8.0/d6/df9/... 🌠 Tutorial Series Plan: https://docs.opencv.org/4.8.0/modules... 🌠 Stackoverflow: https://stackoverflow.com/users/11048... 🌠 Github: https://github.com/yunus-temurlenk?ta... 🌠 Twitter:   / code_enjoy   🌠 Hashnode: https://yunustemurlenk.hashnode.dev/ ▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬ 0:00 - Introduction 4:12 - Coding & Explanation If you see any mistake or have advice, please comment. Thanks for watching… #opencv #tutorial #LogisticRegression #MachineLearning