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。

您将获得的技能: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Medical Imaging
高级设置 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: Python 程序设计, 预测建模, 数据分析, 机器学习算法, 监督学习, 机器学习, Scikit-learn (机器学习库), 分析, 随机森林算法, 分类与回归树 (CART), 预测分析, 统计机器学习, Machine Learning 方法, 应用机器学习, 功能工程
中级 · 课程 · 1-4 周

您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
初级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
初级 · 专项课程 · 1-3 个月

Maven Analytics
您将获得的技能: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm
初级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 程序设计, 预测建模, 人工神经网络, 机器学习, 回归分析, Scikit-learn (机器学习库), 张力流, 监督学习, 深度学习, 分类与回归树 (CART), 随机森林算法, Keras(神经网络库)
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
高级设置 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction
攻读学位
中级 · 课程 · 1-3 个月

MathWorks
您将获得的技能: 预测建模, 计算机视觉, 机器学习, 可视化(计算机制图), 监督学习, Matlab, 性能调整, 应用机器学习, 图像分析, Data Validation
初级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 机器学习算法, 预测建模, 机器学习, 监督学习, Algorithm, 回归分析, 功能工程, 分类与回归树 (CART), 无监督学习, 性能调整, 应用机器学习, 统计建模, 降维, 线性代数
中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment
初级 · 课程 · 1-3 个月

University of Colorado System
您将获得的技能: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Machine Learning, Regression Analysis
中级 · 课程 · 1-4 周