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。

IBM
您将获得的技能: 机器学习, 逻辑回归, 无监督学习, 降维, Model Evaluation, 功能工程, 模型评估, 回归分析, 预测建模, Python 编程, 分类算法, 决策树学习, 应用机器学习, 监督学习, Scikit Learn(机器学习库)
中级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
初级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing
中级 · 专业证书 · 3-6 个月

您将获得的技能: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

Google Cloud
您将获得的技能: 机器学习, 深度学习, 云计算, 脚本, 开发环境, 监督学习, Google Cloud 平台, 张力流, 人工神经网络
初级 · 项目 · 不超过 2 小时

Duke University
您将获得的技能: 数据分析, 机器学习, 微软 Azure, Data Management, 云计算, 数据管理, DevOps, 负责任的人工智能, NumPy, Python 编程, 拥抱的脸, 探索性数据分析, Microsoft Azure, 大数据, GitHub, MLOps(机器学习运营), Pandas(Python 软件包), 模型部署, 数据操作, 云部署, 集装箱化, AWS SageMaker
高级设置 · 专项课程 · 3-6 个月

Imperial College London
您将获得的技能: Algorithm, 线性代数, NumPy, Python 编程, Jupyter, 应用数学, 算法, 机器学习算法
初级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
中级 · 课程 · 1-3 个月

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 机器学习, 数据分析, 数据科学, Model Evaluation, Matplotlib, 预测建模, 模型评估, 探索性数据分析, Python 编程, 数据展示, 数据操作, 交互式数据可视化, 数据可视化软件, 网络抓取, 数据转换, Plotly, 数据可视化, 编程原则, 仪表板, 数据导入/导出, 数据故事
攻读学位
初级 · 专项课程 · 3-6 个月

Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
混合 · 课程 · 1-4 周