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。

Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
中级 · 课程 · 1-3 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

您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies
初级 · 课程 · 1-4 周

您将获得的技能: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation
混合 · 课程 · 1-4 周

您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging
高级设置 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Generative AI, Responsible AI, Prompt Engineering, Course Development, ChatGPT, Instructional Design, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy
初级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Tensorflow, Data Pipelines, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Deployment, Containerization, Performance Tuning
中级 · 课程 · 1-3 个月

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
中级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning, Classification Algorithms, Trend Analysis
中级 · 课程 · 1-4 周