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: CI/CD, Azure DevOps, Infrastructure as Code (IaC), Continuous Integration, Docker (Software), Microsoft Azure, DevOps, Application Deployment, GitHub, Continuous Deployment, Cloud Deployment, Containerization, Git (Version Control System), YAML, Secure Coding, Cloud Computing
您将获得的技能: Virtual Machines, Microsoft Azure, Cloud Infrastructure, Cloud Computing, Network Security, Virtual Networking, Web Servers, Network Administration, Remote Access Systems, Ubuntu, Application Deployment
状态：免费试用University of California, Irvine
您将获得的技能: 语言能力, 语言学习, 英语, 语法, 词汇
状态：新状态：免费试用您将获得的技能: Animations, ChatGPT, Generative AI, Education Software and Technology, AI Personalization, Prompt Engineering, AI Product Strategy, Scripting, AI Workflows, Storyboarding
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 文化多样性, 课程开发, 媒体与传播, 教学法, 人类学习, 研究, 差异化教学, 教学策略, 以学生为中心的学习, 教学
状态：预览The State University of New York
您将获得的技能: 沟通, 终身学习, 新兴技术, 数据伦理, 创造力, 专业发展, 网页内容无障碍指南, 数字扫盲, 批判性思维, 技术战略, 成长意识, 解决问题, 愿意学习, 安全和安保, 计算机扫盲, 协作
状态：新状态：免费Amazon Web Services
您将获得的技能: Education Software and Technology, Generative AI, Game Design, Digital pedagogy
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
您将获得的技能: Penetration Testing, Vulnerability Assessments, Network Analysis, Cyber Security Assessment, Virtual Machines, Virtual Environment, Open Source Technology, Malware Protection, Command-Line Interface, Software Installation, Microsoft Windows
Google Cloud
您将获得的技能: 迁移学习, 卷积神经网络, 张力流, 机器学习, 应用机器学习, 图像分析, 深度学习, Keras（神经网络库）
您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
Commonwealth Education Trust
您将获得的技能: 文化多样性, 专业发展, 沟通策略, 教学法, 自我意识, 学生参与, 教学策略, 教学, 课堂管理
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Learning GitHub Actions for DevOps CI/CD: Packt
- Azure: Create a Virtual Machine and Deploy a Web Server: Coursera
- 学习英语：初级语法: University of California, Irvine
- AI Video Avatars: Launch Your Automated Social Media Machine: Skillshare
- 识字教学：目标、方法和教学法: University of Illinois Urbana-Champaign
- 探索促进终身学习和成功的新兴技术: The State University of New York
- Game based learning - Getting Started with Gen AI: Amazon Web Services
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Digital Forensics for Pentesters - Hands-On Learning: Packt
- 利用迁移学习对猫狗图像进行分类: Google Cloud
