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: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
混合 · 课程 · 1-4 周

IBM
您将获得的技能: 机器学习, 计算机视觉, 卷积神经网络, Scikit-learn (机器学习库), 强化学习, 模型评估, 自动编码器, 深度学习, 人工神经网络, 无监督学习, Keras(神经网络库), 递归神经网络 (RNN), 应用机器学习, 人工智能和机器学习(AI/ML), 图像分析, 生成对抗网络 (GAN)
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
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 Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
初级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
初级 · 课程 · 1-4 周

Wesleyan University
您将获得的技能: 机器学习, 机器学习算法, 分类与回归树 (CART), 模型评估, 回归分析, 无监督学习, 预测分析, 统计分析, Python 程序设计, 数据挖掘, 应用机器学习, 随机森林算法, 决策树学习, 探索性数据分析, 功能工程, 数据分析
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis, Spatial Analysis
中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
混合 · 课程 · 1-4 周

University of Washington
您将获得的技能: 机器学习, 分类算法, 自然语言处理, 监督学习, 模型评估, 文本挖掘, 回归分析, 数据预处理, 深度学习, 应用机器学习, 无监督学习, 功能工程, 图像分析, Python 程序设计, 预测建模, AI 个性化服务
混合 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月