个结果，搜索词为 "introduction to machine learning"
状态：免费试用University of Colorado Boulder
您将获得的技能: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
状态：免费试用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
状态：预览University of Colorado Boulder
您将获得的技能: 网页内容无障碍指南, 语言学习, 技术战略, 数字教学法, 教育软件和技术, 混合式学习, 课程开发
您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
Coursera
您将获得的技能: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
状态：预览DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 人类发展, 高等教育, 教学法, 心理学, 学校心理学, 教育软件和技术, 教育与培训, 儿童发展, 社会科学, 学习理论
状态：预览University of Virginia
您将获得的技能: 经济学, 欧洲历史, 社会经济学, 文化多样性, 管理, 世界历史, 政治科学, 国际关系, 社会科学
状态：免费试用University of Alberta
您将获得的技能: 机器学习, 机器学习算法, Algorithm, 模型评估, 强化学习, 马尔可夫模型, 模拟, 人工神经网络, 性能调整, 人工智能和机器学习（AI/ML）, 性能测试
状态：免费试用Macquarie University
您将获得的技能: 信息图表, 促进讨论, 设计师, 规划, 编写培训材料, 播客, 建设性反馈, 虚拟环境, 设计评论, 教学法, 内容创作, 数字教学法, 教育软件和技术, 视频制作, 教学设计, 多媒体, 教学, 协作软件, 课程开发, 故事板
与 introduction to machine learning 相关的搜索
总之，以下是 10 最受欢迎的 introduction to machine learning 课程
- Trees, SVM and Unsupervised Learning: University of Colorado Boulder
- Deep Learning with PyTorch : GradCAM: Coursera
- Deep Learning for Computer Vision: University of Colorado Boulder
- Statistical Learning for Data Science: University of Colorado Boulder
- 混合式语言学习：教师的设计与实践: University of Colorado Boulder
- Deep Learning - Crash Course 2023: Packt
- Curso Completo de Deep Learning: Coursera
- Neuronale Netze und Deep Learning: DeepLearning.AI
- 学习、知识和人类发展: University of Illinois Urbana-Champaign
- 现代世界，第一部分：1760 年至 1910 年的全球历史: University of Virginia
