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。

New York University
您将获得的技能: 金融交易, 探索性数据分析, 相关性分析, 无监督学习, 监督学习, Scikit-learn (机器学习库), 机器学习, 决策树学习, Python 程序设计, 人工神经网络, 强化学习, 回归分析, 投资组合管理, 应用机器学习, 金融服务, 降维
中级 · 课程 · 1-4 周

LearnKartS
您将获得的技能: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment
初级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
初级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression
攻读学位
中级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
混合 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing
中级 · 课程 · 1-4 周

您将获得的技能: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
中级 · 课程 · 1-3 个月

您将获得的技能: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 检索-增强生成, Prompt Engineering, 视觉转换器(ViT), 数据科学, PySpark, Python 程序设计, 无监督学习, 监督学习, 模型评估, 机器学习, 生成式人工智能, 迁移学习, LLM 申请, 生成模型架构, Apache Spark, PyTorch(机器学习库), 大型语言模型, 矢量数据库, Keras(神经网络库), 计算机视觉
攻读学位
中级 · 专业证书 · 3-6 个月

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