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。
Universidad de los Andes
您将获得的技能: Social Network Analysis, Systems Thinking, Unsupervised Learning, Risk Analysis, Deep Learning, Reinforcement Learning, Financial Statement Analysis, Data Storytelling, Computer Vision, Natural Language Processing, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, Marketing Analytics, Logistic Regression, Descriptive Analytics, Simulations, Presentations, Data Cleansing
学位 · 1-4 年

Pontificia Universidad Católica de Chile
您将获得的技能: Predictive Analytics, Unsupervised Learning, Data Cleansing, Plot (Graphics), Data Visualization, Model Evaluation, Regression Analysis, Graphing, Dimensionality Reduction, Model Optimization, Descriptive Analytics, Supervised Learning, Matplotlib, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Data Science, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting
MasterTrack · 6-12 个月

您将获得的技能: Splunk, Data Maintenance, Configuration Management, System Configuration, Data Management, Information Management, Records Management, Data Storage, Data Integrity, Database Management, Performance Tuning, System Monitoring, Data Pipelines, Data Processing, Disaster Recovery, Continuous Monitoring
初级 · 课程 · 1-3 个月
初级 · 专项课程