All current Reinforcement Learning Courses courses in 2024
99 Courses
Securing AI and Advanced Topics
Securing AI and Advanced Topics
In the course "Securing AI and Advanced Topics", learners will delve into the cutting-edge intersection of AI and cybersecurity, focusing on how advanced techniques can secure AI systems against emerging threats. Through a structured approach, you will explore practical applications, including fraud prevention usi.
Machine Learning Basics
Sharpen your digital skills by leveraging predictive analytics across multiple industries with machine learning at the forefront. In collaboration with FutureLearn, join Sungkyunkwan University for a four-week course and stay ahead of the competition.
Enhance your understanding of AI and machine learning's core ideas to become a tech-savvy playe.
AWS Flash - Memahami Machine Learning, Amazon SageMaker Canvas, dan Kasus Penggunaannya
Join us for AWS Flash: Memahami Machine Learning, a comprehensive session focused on Amazon SageMaker Canvas. This event will cover practical use cases within the financial services sector to enhance your understanding of machine learning. Hosted by AWS Skill Builder, this workshop is tailored for anyone interested in expanding their knowledge of A.
AI and Machine Learning Algorithms and Techniques
Delve into the essential algorithms and methodologies at the heart of AI and Machine Learning with this in-depth course. Discover how pre-trained large-language models (LLMs) and various learning paradigms like supervised, unsupervised, and reinforcement learning come together to solve complex business challenges.
Gain hands-on experience in.
Reinforcement Learning from Human Feedback (RLHF)
Join the course on Reinforcement Learning from Human Feedback to effectively align Generative AI models with human values and preferences. Gain hands-on proficiency with advanced Large Language Models (LLMs), and delve into the complexities of designing reward models. Elevate your understanding of AI that not only learns from inputs bu.
小白学人工智能
中国也在大力发展新一代人工智能技术，并致力于将其应用于各行各业。本课程完成后，学生将能够：
了解人工智能行业的最新应用和发展趋势。
从数据、算法和计算力的角度理解人工智能的发展。
用行业或生活术语比喻人工智能的概念和原理。
体验和理解深度学习原理，涉及CNN、图像风格迁移、RNN等架构。
通过实例理解深度学习特征，如输入层、隐藏层、输.
Deep Reinforcement Learning: Hands-on AI Tutorial in Python
Unlock the potential of AI with our Deep Reinforcement Learning course. Dive into hands-on tutorials and develop cutting-edge applications using Python. Master both Reinforcement and Q-learning strategies, building your proficiency in the dynamic world of Artificial Intelligence.
Offered by Udemy, this course is perfect for those wanting.
人工智能原理
人工智能是全球知名大学计算机专业的核心课程之一，也是国际上顶尖高校和研究机构的关键研究领域。该领域研究如何通过计算机软硬件实现Agent的感知、决策和智能行为，涵盖的理论基础包括搜索、推理、规划和学习，其应用范围涉及计算机视觉、图像分析、模式识别、专家系统、自动规划、智能搜索、计算机博弈、智能控制、机器人技术、自然语言处理、社交网络、数据挖掘和虚拟.
智能车辆理论与应用
课程内容涵盖智能车辆的各个方面，如环境感知技术、深度学习及其在智能车辆上的应用、智能车辆SLAM、行为决策和运动规划等关键领域。特别介绍了智能网联技术以及智能车辆的测评体系。
本课程是国内较早开设的研究生课程，“智能车辆理论与技术”是北京理工大学机械工程学科的核心课程，通过丰富的案例理论联系实际进行讲解。
