应用机器学习课程
应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具，这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
热门应用机器学习课程和认证
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 运行效率, 供应链规划, 质量管理, 消费者行为, 持续改进流程, 价值主张, 供应商管理, 新产品开发, 库存管理系统, 协调, 供应链管理, 物流管理, 企业可持续发展, 供应链
您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
您将获得的技能: Education Software and Technology, Digital pedagogy
状态：新状态：预览Simplilearn
您将获得的技能: Reinforcement Learning, Model Evaluation
状态：免费试用University of Colorado Boulder
您将获得的技能: 建立关系, 移情与情商, 自我意识, 教学, 坚持不懈, 成长意识
状态：免费试用University of Michigan
您将获得的技能: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
状态：免费试用您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
状态：免费试用您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
University of Colorado Boulder
您将获得的技能: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
您将获得的技能: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
状态：免费试用Google Cloud
您将获得的技能: Google Gemini, Gemini, AI Security, Cloud Deployment, Customer Insights, Customer Analysis, Kubernetes, Generative AI, Customer Data Management, Big Data, Google Cloud Platform, Test Script Development, Software Development Life Cycle, Cloud Security, Development Testing, Virtual Networking, Application Deployment, DevOps, Application Development, Security Engineering
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 供应链管理：学习视角: Korea Advanced Institute of Science and Technology(KAIST)
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Creating Interactive Learning Videos with Edpuzzle: Coursera
- Q Learning in Reinforcement Training Basics: Simplilearn
- 教师的社会和情感学习: University of Colorado Boulder
- Exploring Generative AI for Learning Design: University of Michigan
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- Introduction to Deep Learning for Computer Vision: MathWorks
- Statistical Learning for Engineering Part 2: Northeastern University
- Deep Learning for Natural Language Processing: University of Colorado Boulder
