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: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
中级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 应用数学, A/B 测试, 线性代数, 统计分析, 贝叶斯统计, 概率与统计, 统计假设检验, Machine Learning 方法, 抽样(统计), NumPy, 描述性统计, 降维, 概率, 概率分布, 数学建模, 微积分, 统计推理, 机器学习, 数值分析, 数据转换
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
高级设置 · 专项课程 · 3-6 个月

Imperial College London
您将获得的技能: 概率与统计, 应用数学, 数据操作, 统计分析, 回归分析, 数据科学, NumPy, 机器学习算法, Python 程序设计, 线性代数, 微积分, 衍生产品, Algorithm, 机器学习, Jupyter, 统计, 高等数学, 人工神经网络, 降维
初级 · 专项课程 · 3-6 个月

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
中级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
高级设置 · 课程 · 1-3 个月

Alberta Machine Intelligence Institute
您将获得的技能: 负责任的人工智能, 数据清理, Machine Learning 方法, 监督学习, 功能工程, Data Validation, 机器学习算法, 测试数据, 数据伦理, 分类与回归树 (CART), 应用机器学习, MLOps(机器学习 Operator), 道德标准与行为, 项目管理, Jupyter, 业务运营, 机器学习, 产品生命周期管理, 数据处理, 数据质量
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 统计建模, 统计假设检验, 数据清理, Scikit-learn (机器学习库), 数据分析, 数据科学, 监督学习, 回归分析, 机器学习算法, 降维, 预测建模, 数据访问, 统计推理, 分类与回归树 (CART), 无监督学习, 功能工程, 机器学习, 应用机器学习, 探索性数据分析, 数据质量
中级 · 专项课程 · 3-6 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

EDHEC Business School
您将获得的技能: 财务分析, 社交网络分析, 投资回报, 财务数据, 文本挖掘, 资产管理, 投资管理, 市场数据, 投资组合管理, 高级分析, 风险管理, 机器学习, 数据可视化软件, 应用机器学习, 网络分析, 金融建模, 非结构化数据, 金融市场, 网页抓取, 风险分析
初级 · 专项课程 · 3-6 个月

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Artificial Neural Networks, Forecasting, Data Mining, Supervised Learning, Exploratory Data Analysis, Probability & Statistics
混合 · 课程 · 1-4 周