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。

University of Colorado Boulder
您将获得的技能: 机器学习算法, 统计分析, 探索性数据分析, 无监督学习, 数据科学, Scikit-learn (机器学习库), 机器学习, 降维, NumPy, Python 程序设计, 线性代数
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中级 · 课程 · 1-4 周

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
中级 · 课程 · 3-6 个月

您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
高级设置 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision
混合 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation
混合 · 课程 · 1-3 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

Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution
中级 · 课程 · 1-3 个月

您将获得的技能: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 预测建模, 回归分析, 时间序列分析和预测, 机器学习算法, 数据访问, 监督学习, 探索性数据分析, 数据科学, 统计推理, 无监督学习, 降维, 机器学习, 功能工程, 数据分析, 数据清理, 深度学习, Python 程序设计, 生成模型架构, 强化学习, 应用机器学习
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中级 · 专业证书 · 3-6 个月

Duke University
您将获得的技能: 监督学习, 无监督学习, 计算机视觉, PyTorch(机器学习库), 机器学习, Python 程序设计, 应用机器学习, 自然语言处理, 医学影像, 深度学习, Machine Learning 方法, 图像分析, 强化学习, 人工神经网络
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 回归分析, 人工智能, 监督学习, 预测建模, Scikit-learn (机器学习库), NumPy, 机器学习, Python 程序设计, Jupyter, 数据转换, 统计建模, 应用机器学习, 功能工程, 分类与回归树 (CART)
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 时间序列分析和预测, 统计分析, 预测建模, 预测, 探索性数据分析, Pandas(Python 软件包), 无监督学习, 降维, 数据清理, 应用机器学习, 数据转换, Jupyter, 统计方法, 深度学习
中级 · 课程 · 1-4 周