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：新您将获得的技能: PHP (Scripting Language), Full-Stack Web Development, Server Side
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
状态：预览Google Cloud
您将获得的技能: 多模式 Prompt, Google 云端平台, 生成式人工智能, 机器学习, 大型语言模型, 人工智能和机器学习（AI/ML）, 人工智能, Prompt Engineering, LLM 申请, 监督学习
状态：新您将获得的技能: Decision Making, Cultural Sensitivity, Rapport Building, Empathy, Adaptability, Influencing, Leadership, digital literacy, Ethical Standards And Conduct
状态：免费DeepLearning.AI
您将获得的技能: 检索-增强生成, 多模式 Prompt, 嵌入, 生成式人工智能, 应用机器学习, 大型语言模型, 矢量数据库, 图像分析
状态：新状态：预览Creo Incubator
您将获得的技能: Critical Thinking, Analytical Skills, Problem Solving, Decision Making, Curiosity, Complex Problem Solving, Research, Strategic Decision-Making
状态：新状态：免费试用您将获得的技能: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Applied Machine Learning, Data Modeling, Keras (Neural Network Library), Machine Learning, Deep Learning
Duke University
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning
状态：新状态：免费试用您将获得的技能: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation
状态：新您将获得的技能: HTML and CSS, Web Design, UI Components, Web Analytics and SEO
状态：预览University of California San Diego
您将获得的技能: 统计分析, 数据分析, 无监督学习, 数据操作, 大数据, 数据驱动的决策制定, 预测建模, 预测分析, 数据科学, 数据挖掘, 数据处理, 软件安装, 分析, 无代码开发
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Build and Implement a Dynamic Fruits & Veg App Using Apache: EDUCBA
- RNN Architecture and Sentiment Classification: Packt
- 用于医疗保健的生成式 AI: Google Cloud
- Building Your signature style through Charisma and Humour: Creo Incubator
- 构建多模式搜索和 RAG: DeepLearning.AI
- Critical Thinking for Decision Making: Creo Incubator
- Evaluate LLMs: Test and Prove Significance: Coursera
- Feature Engineering 日本語版: Google Cloud
- Introduction to Retrieval Augmented Generation (RAG): Duke University
- Design & Present Responsible AI Solutions: Coursera
