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：免费试用您将获得的技能: 生成式人工智能, 自然语言处理, 机器学习, 概率分布, 强化学习, 大型语言模型, 模型评估
状态：预览Georgia Institute of Technology
您将获得的技能: 应用数学, 机械, 结构分析, 工程计算, 工程学, 工程分析, 三角法, 土木工程, 机械工程, 扭矩（物理学）
状态：新您将获得的技能: Amazon Bedrock, Model Evaluation, Data Preprocessing
状态：新您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
状态：预览DeepLearning.AI
您将获得的技能: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
状态：免费试用University of California, Davis
您将获得的技能: Algorithm, 数据伦理, 负责任的人工智能, 机器学习, 研究, 大数据, AI 赋能, 应用机器学习, 社会科学, 道德标准与行为, 自然语言处理, 数据挖掘, 研究方法, 人工智能, 分析
您将获得的技能: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
您将获得的技能: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
状态：新状态：免费试用您将获得的技能: API Design, Cloud API, Amazon CloudWatch, AI Security, Cloud Management, Security Controls, Application Performance Management, Redis, Load Balancing, Performance Testing, Network Monitoring, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning
状态：新状态：预览Universitat Politècnica de València
您将获得的技能: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
您将获得的技能: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 生成式 AI 推进 LLM 的微调工作: IBM
- 工程力学入门: Georgia Institute of Technology
- AI Ecosystem for the Absolute Beginners - Hands-On: Packt
- Optimize Java Memory for ML Performance: Coursera
- IA Para Todos (Español): DeepLearning.AI
- 大数据、人工智能与伦理: University of California, Davis
- Diabetes Prediction With Pyspark MLLIB: Coursera
- Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera
- Design & Secure LLM APIs for Scalability: Coursera
