All current Decision Trees Courses courses in 2024
16 Courses
Develop with Python for AI and Machine Learning
Develop with Python for AI and Machine Learning
Game Bots in C#: Develop a Tic-Tac-Toe Agent
Game Bots in C#: Develop a Tic-Tac-Toe Agent
In this 2 hours guided project, you will discover the art of game development with C# by building a formidable Tic-Tac-Toe agent using the powerful Minimax algorithm. This hands-on project will guide you through the intricacies of game AI development, from understanding the fundamental principles of t.
Interpretable Machine Learning
Interpretable Machine Learning
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course is a.
Advanced Methods in Machine Learning Applications
Advanced Methods in Machine Learning Applications
The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning.
Emphasizing practical application, this cou.
Introduction to AI for Cybersecurity
Introduction to AI for Cybersecurity
"Introduction to AI for Cybersecurity" offers you a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of cybersecurity. This course provides an in-depth look at key AI techniques and their applications in bolstering security measures, threat detection, and the safeguar.
Intermediate Data Manipulation and Machine Learning
Intermediate Data Manipulation and Machine Learning | Coursera
In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid foundation for machine learning. You will delve into regression analysis, applying univariate, polynomial, and multivariate regression techniques to real-wo.
Explainable AI in Python
Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors.
Why is Explainable AI crucial? Transparent, accountable, and t.
Machine Learning A-Z™: Hands-On Python & R in Data Science
Unlock the power of machine learning with the Machine Learning A-Z™ course, providing practical experience with Python and R. This Udemy course is designed for those looking to expand their knowledge in advanced data visualization, linear regression, decision trees, and essential libraries like NumPy and Pandas. Whether you're a budding data s.
机器学习入门
欢迎加入系统、科学且专业的机器学习入门课程。这门课程不仅涵盖传统的机器学习内容，还包括了深度学习的先进知识。您将学习到机器学习和深度学习的基础理论、算法原理及数据处理技巧，并且通过实际案例分析提高自己的实践能力，从而为未来的学习和职业发展奠定坚实基础。
这是一门针对机器学习初学者设计的课程，涵盖广泛的基本知识，适合各专业背景的学生参与学习。无论您的.
Principles and Practice of Artificial Intelligence
In July 2017, China's State Council unveiled the "New Generation Artificial Intelligence Development Plan," a pivotal move that positioned AI advancement as a national strategic focus. As AI drives high-quality development, it reshapes the concept of new productive forces and stands as a measure of a nation's technological innovation and prowess in.
