Supervised Learning,Unsupervised Learning,Reinforcement Learning
This course provides a foundational understanding of Machine Learning (ML), the subfield of AI focused on building systems that learn and improve from experience without being explicitly programmed. We will explore the fundamental concepts, algorithms, and techniques that enable computers to find patterns, make predictions, and discover insights from data. The curriculum covers the three main paradigms of machine learning: supervised learning, unsupervised learning, and reinforcement learning. You'll learn how to preprocess data, select and train models, and evaluate their performance. The course emphasizes a hands-on approach, using practical examples to illustrate the theoretical principles and their real-world applications in various industries.
0 Reviews
Corporate Training
