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。
CertNexus
您将获得的技能: 分类算法, 模型评估, 监督学习, 预测建模, 机器学习算法, 无监督学习, 线性代数, 机器学习, 回归分析, 统计建模, 性能调整
中级 · 课程 · 1-3 个月

您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
初级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 程序设计, 决策树学习, 分类算法, Scikit-learn (机器学习库), Keras(神经网络库), 模型评估, 回归分析, 机器学习, 随机森林算法, 深度学习, 人工神经网络, 张力流
中级 · 课程 · 1-4 周

University of Alberta
您将获得的技能: 概率分布, Algorithm, 人工智能和机器学习(AI/ML), 强化学习, 模拟, 机器学习算法, 机器学习, 抽样(统计)
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Python 程序设计, 数据预处理, Machine Learning 方法, Keras(神经网络库), 模型评估, 应用机器学习, 数据导入/导出, 机器学习, 张力流, 性能调整, ChatGPT, 人工神经网络, 图像分析
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Feature Engineering
中级 · 课程 · 1-4 周

您将获得的技能: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

Fractal Analytics
您将获得的技能: 分类算法, 决策树学习, Algorithm, 模型评估, 监督学习, 预测建模, 机器学习算法, 功能工程, 回归分析, 应用机器学习, 性能调整, 随机森林算法
初级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning
中级 · 课程 · 1-4 周