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在整个课程（说明和评估）中使用的语言。
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“artificial intelligence and machine learning (ai/ml)” 的结果
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Tensorflow, Prompt Engineering, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Data Processing, Feature Engineering
LearnQuest
您将获得的技能: 机器学习算法, 微软 Azure, 数据科学, 应用编程接口 (API), 应用程序部署, Python 程序设计, 计算机视觉, 人工智能和机器学习（AI/ML）, 机器学习, 应用机器学习, 自然语言处理, 图像分析
状态：预览您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Data Processing, Machine Learning, Natural Language Processing
状态：免费试用Google Cloud
您将获得的技能: Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Tensorflow, Deep Learning, Dimensionality Reduction, Regression Analysis, Supervised Learning, Google Cloud Platform, Machine Learning
您将获得的技能: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing
状态：预览The University of Chicago
您将获得的技能: 决策树学习, 分类与回归树 (CART), 无监督学习, Pandas（Python 软件包）, 监督学习, 人工神经网络, 机器学习算法, 深度学习, 降维, 机器学习, 随机森林算法, 应用机器学习, 张力流, Scikit-learn （机器学习库）, 功能工程, 回归分析, 统计方法
状态：免费试用Google Cloud
您将获得的技能: Tensorflow, Performance Tuning, Artificial Neural Networks, Dimensionality Reduction, Applied Machine Learning, Machine Learning, Regression Analysis, Google Cloud Platform, Algorithms
状态：免费试用Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis
状态：免费试用您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments
状态：免费试用University of Glasgow
您将获得的技能:
您将获得的技能: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Data Processing, Natural Language Processing
总之，以下是 10 最受欢迎的 artificial intelligence and machine learning (ai/ml) 课程
- Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
- 在 Azure 上开发人工智能应用: LearnQuest
- Introduction to AI and Machine Learning on GC - Português: Google Cloud
- Art and Science of Machine Learning en Français: Google Cloud
- Introduction to AI and Machine Learning on GC - Français: Google Cloud
- 机器学习：概念与应用: The University of Chicago
- Art and Science of Machine Learning en Español: Google Cloud
- Introduction to Machine Learning with Python: Arizona State University
- Fundamentals of AI, Machine Learning, and Python Programming: Packt
- Machine Learning and its Applications: University of Glasgow
