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), 卷积神经网络, 自动编码器, 计算机视觉, 无监督学习, 人工智能, 强化学习, Transfer Learning, 降维, 机器学习, 人工神经网络, 深度学习, Model Evaluation, Keras(神经网络库), 递归神经网络 (RNN), Machine Learning 方法
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 数据预处理, 数学建模, NumPy, 代数, 降维, Python 程序设计, 应用数学, 机器学习, Machine Learning 方法, 线性代数, 数据操作, 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, 预测建模, Scikit-learn (机器学习库), 无监督学习, 降维, Python 程序设计, 分类算法, 逻辑回归, 机器学习, 应用机器学习, Model Evaluation, 决策树学习, 监督学习, 功能工程
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, 自动编码器, 卷积神经网络, 数据预处理, 无监督学习, 强化学习, 降维, 探索性数据分析, Python 程序设计, 机器学习, 数据科学, 功能工程, 数据分析, 监督学习, 统计方法, 深度学习, 递归神经网络 (RNN), 分类算法, 时间序列分析和预测
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, 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), 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, 无监督学习, 预测建模, Scikit-learn (机器学习库), 数据预处理, 人工智能, NumPy, Python 程序设计, 机器学习, 逻辑回归, Jupyter, Model Evaluation, 监督学习, 分类算法, 功能工程
初级 · 课程 · 1-4 周