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: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning
中级 · 专项课程 · 3-6 个月

University of Colorado Boulder
您将获得的技能: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics
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中级 · 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

您将获得的技能: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
初级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 回归分析, 机器学习, Python 程序设计, NumPy, 应用机器学习, 数据转换, 预测建模, 分类与回归树 (CART), Scikit-learn (机器学习库), 统计建模, 人工智能, 监督学习, 功能工程, Jupyter
初级 · 课程 · 1-4 周
University of Michigan
您将获得的技能: 回归分析, 机器学习, Scikit-learn (机器学习库), 决策树学习, 无监督学习, 监督学习, Python 程序设计, 降维, 随机森林算法, 功能工程, 应用机器学习, 预测建模
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 机器学习, Data Validation, 持续监测, 数据质量, 软件开发生命周期, 应用机器学习, 数据管道, MLOps(机器学习 Operator), 应用程序部署, 功能工程, 持续部署
中级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks
初级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 统计分析, 回归分析, 探索性数据分析, 机器学习, NumPy, 机器学习算法, Python 程序设计, 预测建模, 分类与回归树 (CART), 随机森林算法, 监督学习, Scikit-learn (机器学习库), 数据分析, 性能调整, 功能工程, 应用机器学习, 数据科学
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中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 无监督学习, 机器学习算法, 计算机视觉, 深度学习, 应用机器学习, 人工智能, 生成模型架构, 自然语言处理, 人工神经网络, 图像分析, Keras(神经网络库), 张力流, 性能调整
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中级 · 课程 · 1-3 个月

Alberta Machine Intelligence Institute
您将获得的技能: 回归分析, 数据处理, 机器学习, 监督学习, 业务解决方案, 机器学习算法, 性能分析, Python 程序设计, Scikit-learn (机器学习库), 功能工程, 性能指标, Jupyter, 分类与回归树 (CART), 应用机器学习
混合 · 课程 · 1-4 周

IBM
您将获得的技能: 统计分析, 探索性数据分析, 时间序列分析和预测, 无监督学习, 深度学习, 数据转换, 降维, 应用机器学习, 统计方法, 预测建模, 数据清理, Pandas(Python 软件包), 预测, Jupyter
中级 · 课程 · 1-4 周