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
您将获得的技能: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation
状态：免费试用University of Minnesota
您将获得的技能: Algorithm, 预测建模, 机器学习算法, 协作软件, 数据操作, 应用机器学习, AI 个性化服务, 数据挖掘
状态：新状态：免费试用Macquarie University
您将获得的技能: Digital Forensics, Mobile Security, Anomaly Detection, AI Security, Criminal Investigation and Forensics, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Investigation, Cyber Attacks, File Systems, Intrusion Detection and Prevention, Fraud detection, Mobile Development, Cybersecurity, Applied Machine Learning, Malware Protection, Cyber Security Policies, Apple iOS, Artificial Intelligence and Machine Learning (AI/ML)
状态：预览The University of Edinburgh
您将获得的技能: 数据伦理, 图论, 机器学习, 数据科学, 大数据, Python 程序设计, 生物信息学, 生物医学技术, 网络分析, 数据整合, 统计建模, 精准医疗, 自然语言处理, 图像分析, 健康信息学
Google Cloud
您将获得的技能: 计算机视觉, 模型评估, 机器学习, 云 API, 应用机器学习, 图像分析, 云存储, Google 云端平台, 模型部署
Coursera
您将获得的技能: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
状态：免费试用DeepLearning.AI
您将获得的技能: 卷积神经网络, 模型评估, 深度学习, 迁移学习, 张力流, 人工神经网络, Keras（神经网络库）
状态：免费试用Fractal Analytics
您将获得的技能: 数据整理, 模型评估, 交互式数据可视化, 机器学习, 数据展示, 数据叙事, 故事板, 批判性思维, 数据操作, Power BI, Python 程序设计, SQL, 功能工程, Data Analysis 表达式（DAX）, 决策, 数据库设计, 解决问题, 以人为本的设计, 数据可视化, 模型部署
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra
状态：新状态：免费试用您将获得的技能: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation
状态：免费试用Saïd Business School, University of Oxford
您将获得的技能: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Mastering Image Segmentation with PyTorch: Packt
- Building and Fine-Tuning LLM Applications: Packt
- 近邻协同过滤法: University of Minnesota
- Cyber Security: Essentials for Forensics: Macquarie University
- 分层医疗和精准医疗中的数据科学: The University of Edinburgh
- 使用 Vertex AutoML Vision 识别损坏的汽车部件: Google Cloud
- Analyze Data in Azure ML Studio: Coursera
- 使用 TensorFlow 定制模型、层和损失函数: DeepLearning.AI
- 分形数据科学: Fractal Analytics
- 신경망 및 딥 러닝: DeepLearning.AI
