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。

DeepLearning.AI
您将获得的技能: Python 程序设计, 可扩展性, LLM 申请, 自然语言处理, 模型评估, 机器学习, PyTorch(机器学习库), Prompt Engineering, 生成式人工智能, 负责任的人工智能, 强化学习, 模型部署, 应用机器学习, 生成模型架构, 大型语言模型
中级 · 课程 · 1-4 周

您将获得的技能: Artificial Intelligence, AI Enablement, Jupyter, Healthcare Ethics, Health Informatics, Healthcare Industry Knowledge, LLM Application, Machine Learning, Deep Learning, Machine Learning Software, MLOps (Machine Learning Operations), Statistical Machine Learning, AI Product Strategy, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Data Processing, Data Analysis
中级 · 专项课程 · 1-3 个月
University of Washington
您将获得的技能: 概率与统计, 无监督学习, 统计分析, 监督学习, 机器学习, 统计方法, 分类算法, 预测分析, 高级分析, 统计推理, 数据分析, R 语言程序设计(中文版), 图论, 机器学习算法, 大数据, 统计机器学习
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
中级 · 专项课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Cyber Threat Hunting, Threat Detection, Network Analysis, AI Security, Applied Machine Learning, Model Evaluation, Network Security, Unsupervised Learning, Performance Testing, Analysis, Classification Algorithms, Supervised Learning, Microsoft Windows
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

Johns Hopkins University
您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model
中级 · 课程 · 1-3 个月

Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model
初级 · 课程 · 1-4 周

您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing
初级 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
混合 · 课程 · 1-4 周