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
Commonwealth Education Trust
您将获得的技能: 课程开发, 协作, 学习理论, 教学法, 以学生为中心的学习, 规划, 教学和课程设计, 教学策略, 教学, 教育与培训
状态：免费试用University of Michigan
您将获得的技能: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
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
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
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
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University of Colorado Boulder
您将获得的技能: 坚持不懈, 移情与情商, 建立关系, 自我意识, 教学, 成长意识
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
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：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
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
您将获得的技能: Education Software and Technology, Digital pedagogy
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 教学促进学习的基础：课程: Commonwealth Education Trust
- Learning Experience Design: Theories and Frameworks: University of Michigan
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Deep Learning for Natural Language Processing: University of Colorado Boulder
- Gemini for Google Cloud Learning Path: Google Cloud
- Exploring Generative AI for Learning Design: University of Michigan
- 教师的社会和情感学习: University of Colorado Boulder
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- Transfer Learning for NLP with TensorFlow Hub: Coursera
- Statistical Learning for Engineering Part 2: Northeastern University
