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: 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

Fractal Analytics
您将获得的技能: 分类算法, 预测建模, 随机森林算法, 模型评估, 监督学习, 功能工程, Algorithm, 应用机器学习, 决策树学习, 性能调整, 机器学习算法, 回归分析
初级 · 课程 · 1-3 个月

University of California San Diego
您将获得的技能: 分类算法, Apache Spark, 模型评估, 预测建模, 统计分析, 监督学习, 应用机器学习, 无监督学习, 数据预处理, 数据分析, 探索性数据分析, 大数据, 机器学习, 数据挖掘, 回归分析
混合 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 数据操作, 预测建模, 监督学习, Scikit-learn (机器学习库), 分类算法, 模型评估, 文本挖掘, 应用机器学习, 功能工程, Pandas(Python 软件包), 无监督学习, 时间序列分析和预测, Jupyter, 机器学习算法, 数据预处理, 机器学习, 回归分析
攻读学位
中级 · 课程 · 1-3 个月

Stanford University
您将获得的技能: 卷积神经网络, 负责任的人工智能, 人工智能和机器学习(AI/ML), 模型评估, 数据伦理, 医疗保健行业知识, 机器学习算法, 强化学习, 医疗保健伦理, 卫生政策, 应用机器学习, 数据预处理, 深度学习, 机器学习, 人工神经网络
初级 · 课程 · 1-3 个月

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

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: 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

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

EDHEC Business School
您将获得的技能: 统计方法, 投资组合风险, 监督学习, 投资管理, 投资组合管理, 资产管理, 无监督学习, Jupyter, 计算机科学, 金融市场, 应用机器学习, 预测分析, 金融建模, 降维, 机器学习, 回归分析
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

Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
中级 · 课程 · 1-4 周