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DeepLearning.AI
您将获得的技能: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science
状态：免费试用您将获得的技能: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, 时间序列分析和预测, 趋势分析, 相关性分析, 客户需求规划, 预测, Pandas（Python 软件包）, 机器学习, Matplotlib, 预测建模, 统计建模, 数据可视化, 数据分析, 供应链管理, 回归分析
您将获得的技能: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 应用数学, 计算逻辑, 工程计算, 代数, 线性代数, 工程分析, 高等数学, 普通数学, 算术
状态：新您将获得的技能: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis
状态：免费试用University of Minnesota
您将获得的技能: Algorithm, AI 个性化服务, 数据操作, 机器学习算法, 预测建模, 应用机器学习, 数据挖掘, 协作软件
状态：免费试用Vanderbilt University
您将获得的技能: 数据处理, 分类算法, 散点图, 预测建模, 数据可视化软件, 数字信号处理, 应用机器学习, 数据分析, Matlab, 图像分析, 回归分析, 柱状图
状态：新您将获得的技能: AI Security, Application Security, Secure Coding, DevSecOps, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain
Coursera
您将获得的技能: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning
状态：新Birla Institute of Technology & Science, Pilani
您将获得的技能: Electronic Systems, Semiconductors, Basic Electrical Systems, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Power Electronics, Electrical Systems, Engineering Analysis, Network Analysis, Engineering Calculations, Control Systems, Applied Mathematics
状态：免费试用Vanderbilt University
您将获得的技能: Generative AI Agents, Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Agentic systems, Agentic Workflows, LLM Application, Productivity, Email Automation, AI Personalization, Make.com, AI Enablement, AI Workflows, OpenAI, Expense Management, Expense Reports, Large Language Modeling, Artificial Intelligence, Automation
总之，以下是 10 最受欢迎的 applied machine learning 课程
- AI For Everyone （すべての人のためのAIリテラシー講座）: DeepLearning.AI
- AI Workflow: Data Analysis and Hypothesis Testing: IBM
- 利用时间序列进行需求预测: LearnQuest
- Compare Models with Experiments in Azure ML Studio: Coursera
- 工程师的矩阵代数: The Hong Kong University of Science and Technology
- Master Java Build Tools for ML Projects: Coursera
- 近邻协同过滤法: University of Minnesota
- 使用 MATLAB 进行数据、信号和图像分析入门: Vanderbilt University
- Secure AI Code & Libraries with Static Analysis: Coursera
- PyCaret: Anatomy of Regression: Coursera
