筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“牙科器械” 的结果
状态：免费试用您将获得的技能: 人工智能和机器学习（AI/ML）, AI 产品战略, 机器学习, ChatGPT, 生成式人工智能, 深度学习
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：新状态：免费试用您将获得的技能: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
状态：免费试用多位教师
您将获得的技能: 人工智能, 监督学习, Python 程序设计, 无监督学习, 人工智能和机器学习（AI/ML）, 决策树学习, 机器学习, 深度学习, 分类与回归树 (CART), 预测建模, 随机森林算法, 强化学习, 应用机器学习, 负责任的人工智能, 数据伦理, Jupyter, NumPy, 张力流, Scikit-learn （机器学习库）, 功能工程
状态：免费试用Imperial College London
您将获得的技能: 应用数学, 线性代数, 机器学习算法, Python 程序设计, 衍生产品, 数据操作, 数据科学, 人工神经网络, 降维, 机器学习, 回归分析, 微积分, 统计分析, 概率与统计, Jupyter, Algorithm, NumPy, 统计, 高等数学
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
是什么让您今天来到 Coursera？
状态：免费试用状态：人工智能技能您将获得的技能: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics
状态：免费试用DeepLearning.AI
您将获得的技能: 计算机视觉, 人工智能, Python 程序设计, MLOps（机器学习 Operator）, 调试, 人工智能和机器学习（AI/ML）, 监督学习, 自然语言处理, 文本挖掘, 人工神经网络, 机器学习, 张力流, 数据驱动的决策制定, PyTorch（机器学习库）, 应用机器学习, 深度学习, 性能调整, Keras（神经网络库）, 功能工程, 图像分析
状态：新您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics
状态：新您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
状态：免费试用University of Science and Technology of China
您将获得的技能: Brainstorming, Creative Thinking, Creative Problem-Solving, Productivity, Social Studies, Problem Solving, Innovation, Adult Education, Social Sciences, Resourcefulness, Quick Learning, Operational Efficiency, Learning Strategies, Workflow Management, Collaboration, Lifelong Learning, Willingness To Learn, World History, Personal Development, Knowledge Transfer
状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, HR Tech, ChatGPT, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, LLM Application, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Data-Driven Decision-Making, Image Quality, Employee Engagement, Recruitment, Machine Learning
总之，以下是 10 最受欢迎的 牙科器械 课程
- 生成式人工智能：介绍与应用: IBM
- Google Advanced Data Analytics: Google
- Google Prompting Essentials: Google
- 机器学习: DeepLearning.AI
- 机器学习数学: Imperial College London
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 深度学习: DeepLearning.AI
- AWS Certified AI Practitioner (AIF-C01): Pearson
- Learn MLOps for Machine Learning: Pearson
