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。

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: Google 云端平台, 脚本, 监督学习, 人工神经网络, 云计算, 深度学习, 开发环境, 机器学习, 张力流
初级 · 项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
初级 · 课程 · 1-4 周

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

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

Imperial College London
您将获得的技能: Python 程序设计, 应用数学, NumPy, 机器学习算法, 线性代数, Algorithm, Jupyter
初级 · 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

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

您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

IBM
您将获得的技能: Python 程序设计, 数据操作, 数据科学, 数据转换, 模型评估, 数据展示, 交互式数据可视化, Plotly, 数据可视化软件, 编程原则, 数据导入/导出, 数据分析, Pandas(Python 软件包), 网页抓取, Matplotlib, 数据可视化, 探索性数据分析, 数据清理, 机器学习, 仪表板
攻读学位
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 人工智能, 数据操作, 概率与统计, 数据科学, 数据转换, 统计方法, 统计分析, 数据存储技术, 功能工程, 数据导入/导出, 统计推理, 数据分析, Data Validation, 数据预处理, 数据质量, 探索性数据分析, 统计假设检验, 数据清理, 数据访问, 机器学习
中级 · 课程 · 1-3 个月