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。

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 模型评估, 数据预处理, 模型部署, MLOps(机器学习运营), 云部署, 持续监测, 功能工程, 数据质量, 应用机器学习, 数据验证, 持续部署, 机器学习, 调试, 数据管道
中级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 数据整理, 模型评估, 探索性数据分析, 数据预处理, 回归分析, 随机森林算法, 分类算法, 机器学习算法, 预测分析, 机器学习, 统计机器学习, 应用机器学习, 预测建模, 功能工程, 监督学习, R 程序设计
混合 · 课程 · 1-4 周

Microsoft
您将获得的技能: 模型评估, 监督学习, MLOps(机器学习运营), 模型部署, Databricks, Scikit Learn(机器学习库), 回归分析, 无监督学习, 应用机器学习, 人工智能和机器学习(AI/ML), Microsoft Azure, 负责任的人工智能, 机器学习, 虚拟机, 预测建模, 分类算法, 数据管道
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 模型评估, 深度学习, 迁移学习, 数据伦理, 人工智能, 张力流, 随机森林算法, 分类算法, 逻辑回归, 决策树学习, 机器学习, 监督学习, 性能调整, 应用机器学习, 人工神经网络
初级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
中级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction
中级 · 课程 · 1-3 个月

Wesleyan University
您将获得的技能: 模型评估, 探索性数据分析, 分类与回归树 (CART), 回归分析, Python 编程, 无监督学习, 数据分析, 随机森林算法, 机器学习算法, 预测分析, 统计分析, 功能工程, 决策树学习, 数据挖掘, 机器学习, 应用机器学习
混合 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
中级 · 专项课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism
中级 · 专项课程 · 3-6 个月