无监督学习课程可以帮助您学习 Clustering 技术、Dimensionality Reduction 和 Anomaly Detection。您可以掌握数据预处理、Feature Extraction 和解释复杂数据集的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具,这些工具支持在项目中实施这些方法。您还将探索客户细分、图像处理和推荐系统等领域的实际应用,提高从无标签数据中获得洞察力的能力。

Google Cloud
您将获得的技能: 模型部署, 持续部署, 模型评估, 自动化, 机器学习, MLOps(机器学习 Operator), 云部署, 数据管道, Devops, 持续集成, Google 云端平台
中级 · 课程 · 1-4 周

您将获得的技能: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Display Devices, Embedded Systems, Electronic Components, Computer Programming Tools, Development Environment, Electrical Wiring, Programming Principles, Debugging
初级 · 课程 · 1-3 个月

您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
高级设置 · 指导项目 · 不超过 2 小时

您将获得的技能: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
中级 · 指导项目 · 不超过 2 小时

Intel
您将获得的技能: 计算机视觉, 迁移学习, 卷积神经网络, 自然语言处理, Machine Learning 方法, 可扩展性, 递归神经网络 (RNN), 强化学习, 人工神经网络, 性能调整, 深度学习, 生成对抗网络 (GAN)
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

Duke University
您将获得的技能: 计算机视觉, 微软 Azure, 模型部署, 自然语言处理, 机器学习, MLOps(机器学习 Operator), 持续交付, 应用编程接口 (API), 云应用, Flask(网络框架), Google 云端平台, 人工智能和机器学习(AI/ML), 应用机器学习
中级 · 课程 · 1-4 周

您将获得的技能: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
中级 · 指导项目 · 不超过 2 小时

Commonwealth Education Trust
您将获得的技能: 规划, 课程开发, 教学法, 教育与培训, 协作, 教学策略, 学习理论, 教学和课程设计, 教学, 以学生为中心的学习
混合 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周