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: Google Cloud Platform, Model Deployment, Tensorflow, Unstructured Data, Big Data, MLOps (Machine Learning Operations), Deep Learning, Data Pipelines, Machine Learning, Jupyter, Artificial Intelligence, Prototyping
中级 · 课程 · 1-3 个月

您将获得的技能: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science
初级 · 课程 · 1-4 周

Deep Teaching Solutions
您将获得的技能: Lifelong Learning, Learning Strategies, Collaboration, Productivity, Willingness To Learn, Human Learning, Time Management, Creativity, Problem Solving, Cognitive flexibility, Student Engagement, Self-Awareness
混合 · 课程 · 1-3 个月

您将获得的技能: Google Cloud Platform, Unstructured Data, Tensorflow, Data Pipelines, Big Data, Model Deployment, Machine Learning, Jupyter, Artificial Intelligence, Natural Language Processing, Image Analysis
中级 · 课程 · 1-3 个月

Board Infinity
您将获得的技能: Blockchain, Secure Coding, Application Security, Legal Technology, Vulnerability Assessments, Program Development, Software Development Tools, Development Testing, Debugging, Application Deployment, Emerging Technologies, Performance Tuning
初级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: React.js, Application Deployment, JavaScript Frameworks, Software Architecture, Application Development, Responsive Web Design, Cascading Style Sheets (CSS), UI Components, Restful API, User Interface and User Experience (UI/UX) Design, Debugging
中级 · 课程 · 1-3 个月

您将获得的技能: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Deep Learning, Logistic Regression, Artificial Neural Networks
初级 · 课程 · 1-4 周

Indian Statistical Institute
您将获得的技能: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, SQL, NumPy, Data Compilation, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Graphing, Surveys, International Finance
研究生文凭 · 6-12 个月

Google Cloud
您将获得的技能: 无监督学习, 欺诈检测, 异常检测, 监督学习, 机器学习, 大数据, 逻辑回归, 决策树学习, 功能工程, 预测建模, 应用机器学习, Google 云端平台, 数据操作, 数据预处理, 模型评估
中级 · 项目 · 不超过 2 小时

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
中级 · 课程 · 1-3 个月