Deep Reinforcement Learning 课程可以帮助您学习强化学习、神经网络和策略梯度的原理。您可以掌握算法设计、奖励优化和环境模拟方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持实现 AI 模型,以及在复杂环境中训练代理的技术。

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing
中级 · 专业证书 · 3-6 个月

University of Illinois Urbana-Champaign
您将获得的技能: 卷积神经网络, 无监督学习, 图论, 机器学习方法, 生成式对抗网络(GANs), 深度学习, 医疗保健项目管理, 预测建模, 递归神经网络 (RNN), Python 编程, 应用机器学习, 自动编码器, 健康信息学, 人工神经网络, 图像分析
高级设置 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 计算机视觉, 卷积神经网络, 张力流, 深度学习, 模型评估, 分类算法, 应用机器学习, 性能调整, 图像分析, 人工神经网络, 机器学习
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
高级设置 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning, Applied Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
中级 · 指导项目 · 不超过 2 小时

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
中级 · 专项课程 · 3-6 个月

Imperial College London
您将获得的技能: 数据预处理, 算法, 线性代数, 无监督学习, 机器学习算法, 回归分析, NumPy, 降维, 统计资料, Python 编程, 衍生产品, 微积分, 功能工程, Jupyter, 高等数学, 人工神经网络, 应用数学, 数学建模
初级 · 专项课程 · 3-6 个月

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

University of Michigan
您将获得的技能: Program Evaluation, Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Learning Management Systems, Education Software and Technology, Professional Development, Brainstorming, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, User Centered Design, Prototyping, Design Strategies, Creative Thinking
初级 · 专项课程 · 1-3 个月

Coursera
您将获得的技能: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Developing Training Materials, Learning Management Systems, Innovation, Case Studies, Automation
中级 · 课程 · 1-4 周