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 Colorado Boulder
您将获得的技能: Unsupervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Text Mining, Deep Learning, Model Evaluation, Machine Learning, JSON, Data Processing, Natural Language Processing, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Python Programming
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中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
混合 · 课程 · 1-3 个月
CertNexus
您将获得的技能: 分类算法, 预测建模, 模型评估, 统计建模, 监督学习, 机器学习算法, 线性代数, 无监督学习, 性能调整, 回归分析, 机器学习
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 程序设计, Scikit-learn (机器学习库), 分类算法, 预测建模, 数据转换, 监督学习, 无监督学习, 随机森林算法, 数据预处理, 应用机器学习, 人工神经网络, 降维, 机器学习, 数据清理
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

您将获得的技能: Apache Hadoop, 生成式人工智能, Apache Spark, 预测建模, 监督学习, 模型评估, 数据管道, 无监督学习, PySpark, 应用机器学习, 摘录, 数据预处理, 数据处理, 回归分析, 机器学习
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
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中级 · 专项课程 · 3-6 个月

您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
中级 · 专业证书 · 3-6 个月

您将获得的技能: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Predictive Modeling, Regression Analysis
中级 · 课程 · 1-4 周

H2O.ai
您将获得的技能: 数据操作, 自动编码器, 异常检测, 模型评估, 预测建模, 分类算法, 监督学习, 随机森林算法, 应用机器学习, 决策树学习, 无监督学习, 功能工程, 深度学习, 数据预处理, 降维, 机器学习
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 人工智能, 数据科学, 模型评估, 预测建模, 分类算法, 监督学习, 强化学习, 无监督学习, 应用机器学习, 深度学习, 机器学习, 回归分析
初级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 可扩展性, 贝叶斯统计, 非结构化数据, Algorithm, 数据结构, 统计机器学习, 统计建模, 分布式计算, 概率分布, 文本挖掘, 无监督学习, 机器学习算法, 应用机器学习, 机器学习, 统计推理, 数据挖掘
混合 · 课程 · 1-3 个月