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。

IBM
您将获得的技能: 生成对抗网络 (GAN), 计算机视觉, 人工神经网络, 卷积神经网络, 人工智能, 降维, 递归神经网络 (RNN), Keras(神经网络库), Transfer Learning, 强化学习, 机器学习, 深度学习, 无监督学习, Model Evaluation, Machine Learning 方法, 自动编码器
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Python 程序设计, 数据操作, 线性代数, 代数, 数据预处理, 数学建模, 机器学习, 应用数学, Machine Learning 方法, NumPy, 降维, 高等数学
中级 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
中级 · 课程 · 1-3 个月

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
混合 · 课程 · 1-4 周

您将获得的技能: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
高级设置 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Scikit Learn (Machine Learning Library), Data Preprocessing
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 回归分析, Python 程序设计, 分类算法, 监督学习, 无监督学习, 预测建模, Scikit-learn (机器学习库), 逻辑回归, 机器学习, 决策树学习, 功能工程, 应用机器学习, 降维, Model Evaluation
中级 · 课程 · 1-3 个月

IBM
您将获得的技能: 生成对抗网络 (GAN), 回归分析, Python 程序设计, 分类算法, 数据科学, 监督学习, 卷积神经网络, 强化学习, 深度学习, 递归神经网络 (RNN), 机器学习, 数据分析, 数据预处理, 无监督学习, 功能工程, 探索性数据分析, 统计方法, 降维, 时间序列分析和预测, 自动编码器
攻读学位
中级 · 专业证书 · 3-6 个月

您将获得的技能: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
初级 · 课程 · 1-3 个月

MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
初级 · 专项课程 · 1-3 个月

您将获得的技能: Model Deployment, PySpark, Generative AI, Large Language Modeling, Feature Engineering, Deep Learning, Text Mining, Natural Language Processing, Transfer Learning, Unstructured Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Distributed Computing, Model Evaluation, Unsupervised Learning, Scalability, Supervised Learning
混合 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 回归分析, 分类算法, Python 程序设计, 人工智能, 监督学习, 预测建模, 机器学习, 无监督学习, 逻辑回归, Scikit-learn (机器学习库), Jupyter, 数据预处理, Model Evaluation, NumPy, 功能工程
初级 · 课程 · 1-4 周