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在整个课程(说明和评估)中使用的语言。
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“机器控制” 的结果
- 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:新状态:免费试用
University of Colorado System
您将获得的技能: Responsible AI, Agentic systems, Data Ethics, Machine Learning Algorithms, Data Governance, Health Systems, Health Informatics, Artificial Intelligence, Analytics, Digital Transformation, Healthcare Industry Knowledge, Healthcare Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Factors (Security), Generative AI Agents, Machine Learning, Health Technology, Health Information Management, Information Technology, Information Systems
- 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:新状态:免费试用
University of Illinois Urbana-Champaign
您将获得的技能: Nutritional Assessment, Predictive Analytics, Maternal Health, Machine Learning, Diagnostic Tests, Food and Beverage, Health Systems, Operating Cost, Nutrition and Diet, Market Dynamics, Water Resources, Food Safety and Sanitation, Manufacturing and Production, Behavioral Economics, Business Economics, Environment, Molecular Biology, Production Management, Consumer Behaviour, Molecular, Cellular, and Microbiology
- 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
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
是什么让您今天来到 Coursera?
- 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: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
- 状态:免费试用
Stanford University
您将获得的技能: 医疗账单, 人工智能, 临床数据管理, 卫生系统, 药品, 临床研究, 电子病历, 非结构化数据, 机器学习, 健康信息学, 临床研究伦理, 管理式医疗, 医疗保健, 医疗保健伦理, 应用机器学习, 数据伦理, 数据挖掘, 功能工程, 医疗保健行业知识, 负责任的人工智能
- 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:免费试用
IBM
您将获得的技能: Python 程序设计, Prompt Engineering, 数据科学, Machine Learning 方法, 无监督学习, PyTorch(机器学习库), 人工神经网络, 张力流, 机器学习, 生成式 AI 代理, 监督学习, 强化学习, 生成式人工智能, Keras(神经网络库), 功能工程, LLM 申请, 深度学习, 应用机器学习, 大型语言模型, 自然语言处理
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 线性代数, 应用数学, 统计假设检验, A/B 测试, Machine Learning 方法, 数值分析, 统计推理, 抽样(统计), 机器学习, 贝叶斯统计, 降维, 概率, 概率分布, 统计分析, 微积分, 概率与统计, 数学建模, 描述性统计, NumPy, 数据转换
总之,以下是 10 最受欢迎的 机器控制 课程
- 机器学习: DeepLearning.AI
- AI for Healthcare Systems: University of Colorado System
- 深度学习: DeepLearning.AI
- Dairy Nutrition for Udder Success: University of Illinois Urbana-Champaign
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 生成式人工智能:介绍与应用: IBM
- Google Prompting Essentials: Google
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- 医疗保健领域的人工智能: Stanford University
- Google Advanced Data Analytics: Google