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。

University of Glasgow
您将获得的技能: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 卷积神经网络, 数据科学, 无监督学习, 模型评估, 监督学习, 自然语言处理, 机器学习, 决策树学习, 深度学习, 分类与回归树 (CART), 预测分析, 随机森林算法, Algorithm, 回归分析, 逻辑回归, 计算机视觉, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-3 个月

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Model Evaluation, Healthcare Industry Knowledge, Clinical Assessment, Health Informatics, Medical Privacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning
高级设置 · 课程 · 1-4 周

您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
高级设置 · 课程 · 1-3 个月

University of Washington
您将获得的技能: 概率与统计, 机器学习算法, 分类算法, 监督学习, 自然语言处理, 预测建模, 决策树学习, 模型评估, 可扩展性, 机器学习, 大数据, Algorithm, 数据预处理, 逻辑回归, 应用机器学习, 文本挖掘
混合 · 课程 · 1-3 个月

Edureka
您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
中级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
混合 · 课程 · 1-4 周

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