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。

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
初级 · 课程 · 1-3 个月

New York University
您将获得的技能: 逻辑回归, 张力流, 监督学习, 机器学习, 模型评估, 人工神经网络, 深度学习, 统计方法, 强化学习, 预测建模, 金融, 回归分析, 应用机器学习, Scikit-learn (机器学习库), 金融市场, Jupyter
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 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

Board Infinity
您将获得的技能: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
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: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment
中级 · 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

Microsoft
您将获得的技能: 数据管道, 数据安全, 数据伦理, 模型评估, 机器学习, 负责任的人工智能, 信息隐私, 持续监测, 模型部署, 数据预处理, 云计算, 微软 Azure, 性能调整, 数据库, MLOps(机器学习 Operator)
中级 · 课程 · 1-3 个月

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing
初级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 程序设计, 数据清理, 无监督学习, 监督学习, 人工神经网络, 机器学习, 数据转换, 分类算法, 随机森林算法, 预测建模, 数据预处理, 应用机器学习, Scikit-learn (机器学习库), 降维
中级 · 课程 · 1-4 周