机器学习课程可以帮助您学习算法、数据预处理、模型 Evaluation 和神经网络。您可以掌握回归分析、分类技术和聚类方法方面的技能。许多课程都会介绍 Python、TensorFlow 和 Scikit-learn 等工具,展示如何在实际应用中使用这些技术来实施机器学习解决方案。

Coursera
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Google 云端平台, 云计算, 脚本, 开发环境, 深度学习, 张力流, 监督学习, 机器学习, 人工神经网络
初级 · 项目 · 不超过 2 小时

Edureka
您将获得的技能: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis
中级 · 专项课程 · 3-6 个月

您将获得的技能: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
初级 · 专项课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
中级 · 课程 · 1-4 周

您将获得的技能: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
中级 · 课程 · 3-6 个月

IBM
您将获得的技能: Python 程序设计, 检索-增强生成, LangChain, 计算机视觉, 工程软件, 数据导入/导出, 软件开发生命周期, AI 工作流程, 负责任的人工智能, 还原式 API, 软件架构, 生成式人工智能, Prompt Engineering, 数据科学, LLM 申请, 机器学习, 响应式网页设计, 提示模式, ChatGPT, IBM 云
攻读学位
初级 · 专业证书 · 3-6 个月

您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
初级 · 指导项目 · 不超过 2 小时

IBM
您将获得的技能: 数据可视化软件, 交互式数据可视化, 仪表板, 模型评估, 数据分析, 无监督学习, 监督学习, 数据导入/导出, Plotly, 数据操作, 数据转换, 数据扫盲, 数据清理, SQL, 生成式人工智能, Jupyter, 探索性数据分析, 专业网络, 数据挖掘, 数据可视化
攻读学位
初级 · 专业证书 · 3-6 个月

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周