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: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周

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

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
中级 · 课程 · 1-3 个月

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: 生成式人工智能, 数据处理, 数据管道, 数据预处理, 模型评估, 监督学习, 回归分析, Apache Spark, 预测建模, 无监督学习, 机器学习, PySpark, 应用机器学习, Apache Hadoop, 摘录
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: 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

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

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