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: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
混合 · 课程 · 1-3 个月
您将获得的技能: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines
高级设置 · 课程 · 1-4 周

您将获得的技能: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy
中级 · 课程 · 1-4 周

Wesleyan University
您将获得的技能: Python 编程, 模型评估, 统计分析, 探索性数据分析, 分类与回归树 (CART), 无监督学习, 数据分析, 机器学习, 随机森林算法, 预测分析, 机器学习算法, 回归分析, 功能工程, 决策树学习, 数据挖掘, 应用机器学习
混合 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction
中级 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
高级设置 · 课程 · 1-4 周

Duke University
您将获得的技能: Python 编程, 卷积神经网络, PyTorch(机器学习库), 深度学习, 无监督学习, 机器学习, 计算机视觉, 医学影像, 迁移学习, 自然语言处理, 强化学习, 图像分析, 人工神经网络, 监督学习, 应用机器学习, 递归神经网络 (RNN), 逻辑回归
中级 · 课程 · 1-3 个月

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics
混合 · 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

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

Microsoft
您将获得的技能: 模型评估, 分类算法, 负责任的人工智能, Databricks, 模型部署, MLOps(机器学习运营), 人工智能和机器学习(AI/ML), 无监督学习, 机器学习, Scikit Learn(机器学习库), 预测建模, 应用机器学习, 回归分析, 虚拟机, Microsoft Azure, 数据管道, 监督学习
中级 · 课程 · 1-4 周