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在整个课程（说明和评估）中使用的语言。
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探索应用机器学习课程目录
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 回归分析, 决策树学习, 预测建模, 无监督学习, 降维, 监督学习, 随机森林算法, 功能工程, 应用机器学习, 机器学习, Scikit-learn （机器学习库）
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
状态：免费试用多位教师
您将获得的技能: Python 程序设计, 分类与回归树 (CART), 决策树学习, 监督学习, 数据伦理, 人工智能, 预测建模, 人工智能和机器学习（AI/ML）, 随机森林算法, 应用机器学习, 机器学习, 负责任的人工智能, 功能工程, Jupyter, 无监督学习, 张力流, Scikit-learn （机器学习库）, NumPy, 深度学习, 强化学习
状态：新状态：免费试用您将获得的技能: Data Processing
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 监督学习, 数据伦理, 人工智能, 数据质量, 机器学习算法, 应用机器学习, 性能指标, 机器学习, 产品生命周期管理, 数据处理, 无监督学习, 业务要求, 商业分析
状态：预览University of London
您将获得的技能: 人工智能, 机器学习算法, 数据收集, 计算机视觉, 数据分析, 数据处理, 软件测试, 机器学习
是什么让您今天来到 Coursera？
状态：预览Duke University
您将获得的技能: Python 程序设计, 监督学习, 自然语言处理, 无监督学习, 人工神经网络, 计算机视觉, 强化学习, 医学影像, PyTorch（机器学习库）, 机器学习, 应用机器学习, 图像分析, Machine Learning 方法, 深度学习
状态：新状态：免费试用Coursera
您将获得的技能: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
状态：免费试用DeepLearning.AI
您将获得的技能: Python 程序设计, 统计建模, 回归分析, 人工智能, 数据转换, 监督学习, 预测建模, 分类与回归树 (CART), 应用机器学习, 功能工程, Jupyter, 机器学习, Scikit-learn （机器学习库）, NumPy
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：新您将获得的技能: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing
状态：新状态：免费试用您将获得的技能: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Machine Learning Methods, Back-End Web Development, Applied Machine Learning
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Python 中的应用机器学习: University of Michigan
- Applied Machine Learning: Johns Hopkins University
- 机器学习: DeepLearning.AI
- Advanced Machine Learning Techniques: Coursera
- 应用机器学习入门: Alberta Machine Intelligence Institute
- 全民机器学习: University of London
- 机器学习概论: Duke University
- Foundations of Machine Learning: Coursera
- 监督式机器学习：回归与分类: DeepLearning.AI
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
