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。
University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 分类算法, 机器学习算法, 模型评估, Scikit-learn (机器学习库), 机器学习, 数据预处理, Pandas(Python 软件包), 监督学习, 应用机器学习, 回归分析, 时间序列分析和预测, 无监督学习, Jupyter, 功能工程, 文本挖掘, 数据操作, 预测建模
攻读学位
中级 · 课程 · 1-3 个月

Edge Impulse
您将获得的技能: Python 程序设计, 计算机视觉, 迁移学习, 模型部署, 卷积神经网络, 数据预处理, 数据伦理, 模型评估, 机器学习, 嵌入式系统, 人工神经网络, 应用机器学习, 图像分析, 深度学习, 人工智能和机器学习(AI/ML), 计算机编程
中级 · 课程 · 1-4 周

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

Fundação Instituto de Administração
您将获得的技能: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation
初级 · 专项课程 · 1-3 个月

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Education Software and Technology, Digital pedagogy, Content Management
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
混合 · 课程 · 1-4 周

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: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
中级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 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