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。
CertNexus
您将获得的技能: 计算机视觉, 分类算法, 卷积神经网络, 机器学习算法, 自然语言处理, 预测建模, 随机森林算法, 人工神经网络, 应用机器学习, 人工智能和机器学习(AI/ML), 递归神经网络 (RNN), 监督学习, 深度学习, 决策树学习
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Prompt Engineering, 生成式人工智能, 代码审查, LLM 申请, 计划发展, 大型语言模型, 机器学习, 人工智能和机器学习(AI/ML), 软件开发方法
初级 · 课程 · 1-4 周

您将获得的技能: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization
中级 · 指导项目 · 不超过 2 小时

Vanderbilt University
您将获得的技能: Prompt Engineering, 数据处理, 数据分析, 数据可视化软件, Matlab, Algorithm, 面向对象编程(OOP), ChatGPT, 用户界面(UI), 预测建模, 编程原则, 计算机编程, 应用机器学习, 数学软件, 图像分析, 数字信号处理, 柱状图, 文件输入/输出, 散点图, AI 个性化服务
初级 · 专项课程 · 3-6 个月

您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: 迁移学习, PyTorch(机器学习库), 自然语言处理, 生成式人工智能, 文本挖掘, 嵌入, 大型语言模型, 应用机器学习, 性能调整
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Patterns, MarTech, Strategic Marketing, AI Enablement, Personalized Service, Data Ethics, Customer Relationship Management (CRM) Software, Artificial Intelligence, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, AI Workflows, Deep Learning, Content Creation, Machine Learning, Image Analysis, Context Management, Decision Making
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: 集装箱化, 拥抱的脸, MLOps(机器学习 Operator), 迁移学习, 云部署, GitHub, Docker (软件), CI/CD, 机器学习软件, 微软 Azure, 模型部署, 云计算, 模型评估, Devops
高级设置 · 课程 · 1-4 周

University of Illinois Urbana-Champaign
您将获得的技能: Education Software and Technology, Wealth Management, Responsible AI, Supervised Learning, Machine Learning, Financial Services, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, FinTech, Data Mining, AI Personalization, Learning Theory, Financial Planning, Regulatory Compliance, Relationship Building, Risk Modeling
中级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: 生成式人工智能, Prompt Engineering, 原型设计, 星形模式, 负责任的人工智能, 情境管理, 数据库设计, 雪花模式, ChatGPT, 机器学习, 数据伦理, 数据管道, 数据仓库, AI 工作流程, 生成模型架构, Query 语言, 提示模式, 人工智能和机器学习(AI/ML), 摘录, 深度学习
中级 · 专项课程 · 1-3 个月

您将获得的技能: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Prototyping, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, SQL, Data Analysis, Machine Learning
中级 · 专项课程 · 1-3 个月