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LearnQuest
您将获得的技能: 负责任的人工智能, 生成式人工智能, Algorithm, 机器学习算法, 数据伦理, 预测建模, 经济学, 机器学习, 模型评估, AI 赋能, 道德标准与行为, 预测分析, 人工智能, 人工智能和机器学习（AI/ML）
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 深度学习, 可视化（计算机制图）, 分类算法, 迁移学习, 卷积神经网络, 张力流, 网络架构, Keras（神经网络库）, 图像分析, 模型评估
状态：预览DeepLearning.AI
您将获得的技能: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning
状态：预览Universitat Autònoma de Barcelona
您将获得的技能: Computer Vision, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Artificial Intelligence, Model Evaluation, Algorithms
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：预览University of London
您将获得的技能: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing
Google Cloud
您将获得的技能: 计算机视觉, 机器学习, 模型评估, 云存储, Google 云端平台, 云 API, 应用机器学习, 模型部署, 图像分析
您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
状态：免费试用University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Text Mining, Deep Learning, Model Evaluation, Machine Learning, JSON, Data Processing, Natural Language Processing, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Python Programming
状态：免费试用Google Cloud
您将获得的技能: 数据管道, 数据预处理, 数据处理, 机器学习, 张力流, 数据存储, 实时数据, 数据建模, MLOps（机器学习 Operator）, 数据转换, Keras（神经网络库）, 功能工程
状态：免费试用Imperial College London
您将获得的技能: 深度学习, 迁移学习, 数据管道, 卷积神经网络, 张力流, 模型评估, 嵌入, 递归神经网络 (RNN), Keras（神经网络库）, 自然语言处理
状态：免费试用Google Cloud
您将获得的技能: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 人工智能算法模型和局限性: LearnQuest
- 利用 TensorFlow 实现高级计算机视觉: DeepLearning.AI
- Structurer des projets d’apprentissage automatique: DeepLearning.AI
- Detección de objetos: Universitat Autònoma de Barcelona
- Building and Fine-Tuning LLM Applications: Packt
- 모두를 위한 머신 러닝: University of London
- 使用 Vertex AutoML Vision 识别损坏的汽车部件: Google Cloud
- Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
- Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
- 功能工程: Google Cloud
