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: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: Technical Management, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Model Evaluation, Performance Tuning, Test Data
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms
中级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
中级 · 专项课程 · 3-6 个月
University of Michigan
您将获得的技能: Python 程序设计, 逻辑回归, 数据清理, 数据处理, 预测, 相关性分析, 数据预处理, 运动医学, 运动训练, 统计分析, 预测建模, Matplotlib, 统计建模, 应用机器学习, 预防伤害, 监督学习, Scikit-learn (机器学习库), 数据分析, 回归分析, 分析
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: Python 程序设计, 探索性数据分析, Excel 公式, 生成式人工智能, 统计可视化, 数据叙事, Plotly, 数据展示, 专业网络, 交互式数据可视化, 模型评估, 数据可视化软件, 微软Excel, 仪表板, 数据转换, SQL, 数据导入/导出, 数据可视化, 数据分析, IBM Cognos 分析
攻读学位
初级 · 专业证书 · 3-6 个月

Wesleyan University
您将获得的技能: 数据管理, 统计, 探索性数据分析, 数据操作, 逻辑回归, 数据叙事, 描述性统计, 数据展示, 相关性分析, 机器学习, 统计分析, 统计假设检验, 决策树学习, 数据可视化, 数据分析, 数据扫盲, 回归分析, 统计软件, 模型评估, 分类与回归树 (CART)
初级 · 专项课程 · 3-6 个月

Universidad Nacional Autónoma de México
您将获得的技能: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Logical Reasoning, Software Development, Generative AI, Social Sciences
中级 · 专项课程 · 3-6 个月

您将获得的技能: 生成式人工智能, 自然语言处理, 机器学习, 概率分布, 强化学习, 大型语言模型, 模型评估
中级 · 课程 · 1-4 周