个结果，搜索词为 "advanced machine learning"
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Image Analysis, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
状态：免费试用您将获得的技能: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation
状态：免费试用多位教师
您将获得的技能: 预测建模, 数据预处理, 无监督学习, Scikit-learn （机器学习库）, NumPy, Transfer Learning, 人工智能, 机器学习, Jupyter, 强化学习, 数据伦理, Model Evaluation, 应用机器学习, 监督学习, 张力流, 深度学习, 随机森林算法, 决策树学习, 分类算法, 功能工程
状态：免费试用状态：人工智能技能University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
状态：免费试用University of Washington
您将获得的技能: 回归分析, 计算机视觉, 数据预处理, 无监督学习, 人工智能, 预测建模, 分类算法, 贝叶斯统计, 深度学习, 机器学习, 逻辑回归, 功能工程, 统计建模, 应用机器学习, 决策树学习, 图像分析, 数据挖掘, 统计机器学习, 监督学习, Model Evaluation
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 计算机视觉, 卷积神经网络, 拥抱的脸, 数据预处理, 自然语言处理, Keras（神经网络库）, Transfer Learning, 调试, 应用机器学习, 人工神经网络, 深度学习, 性能调整, 递归神经网络 (RNN), 图像分析, 监督学习, 机器学习, 张力流, MLOps（机器学习 Operator）, 嵌入
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 项目管理, 数据预处理, 机器学习算法, Data Validation, 产品生命周期管理, 模型部署, 机器学习, 功能工程, 数据质量, 数据伦理, 分类算法, 决策树学习, 业务运营, Model Evaluation, 监督学习, Jupyter, 负责任的人工智能, 应用机器学习, 数据清理, MLOps（机器学习 Operator）
状态：免费试用DeepLearning.AI
您将获得的技能: 人工智能, Transfer Learning, 人工神经网络, 数据伦理, 深度学习, 机器学习, 分类算法, 逻辑回归, Model Evaluation, 张力流, 应用机器学习, 随机森林算法, 决策树学习, 监督学习, 性能调整
状态：免费试用Wesleyan University
您将获得的技能: 回归分析, 机器学习算法, 无监督学习, 统计分析, Python 程序设计, 探索性数据分析, 机器学习, 数据分析, 功能工程, Model Evaluation, 决策树学习, 数据挖掘, 随机森林算法, 预测分析, 应用机器学习, 分类与回归树 (CART)
状态：免费试用University of Michigan
您将获得的技能: 回归分析, 预测建模, 无监督学习, Scikit-learn （机器学习库）, 监督学习, Python 程序设计, 机器学习, 分类算法, 人工神经网络, 功能工程, 决策树学习, 随机森林算法, Model Evaluation, 应用机器学习
状态：新状态：预览您将获得的技能: 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
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 advanced machine learning 课程
- Advanced Machine Learning on Google Cloud: Google Cloud
- Advanced Machine Learning Techniques: Coursera
- 机器学习: DeepLearning.AI
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习: University of Washington
- 深度学习: DeepLearning.AI
- Machine Learning on Google Cloud: Google Cloud
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- 高级学习算法: DeepLearning.AI
- 数据分析机器学习: Wesleyan University
