Understanding Machine Learning: Supervised, Unsupervised скачать в хорошем качестве

Understanding Machine Learning: Supervised, Unsupervised

In this video, we dive into the core concepts of Artificial Intelligence and explore the different ways machines learn. Whether you are a student or a tech enthusiast, this session breaks down complex AI concepts into easy-to-understand segments, covering everything from basic definitions to real-world applications What You’ll Learn: The Big Picture: The relationship between AI, Machine Learning (ML), and Deep Learning (DL). Supervised Learning: How we use labeled data to map inputs to outputs through Classification and Regression. Unsupervised Learning: Discovering hidden patterns in data using Clustering and Anomaly Detection. Processes.Algorithms in Action: A look at K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and K-Means Clustering. Resources Mentioned: If you're following along with the coding demo, make sure to install the following Python packages: pip install scikit-learn pandas streamlit seaborn