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“机械” 的结果
- 状态:新状态:免费试用
您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
- 状态:免费试用
IBM
您将获得的技能: 数据整理, 交互式数据可视化, 探索性数据分析, 机器学习, 数据清理, 数据导入/导出, Pandas(Python 软件包), 数据分析, 数据转换, 数据操作, 编程原则, 数据可视化软件, Matplotlib, 预测建模, 数据科学, Python 程序设计, 仪表板, 网页抓取, Plotly, 数据可视化
- 状态:新状态:免费试用
您将获得的技能: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning
- 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
Stanford University
您将获得的技能: 机器学习, 管理式医疗, 人工智能, 临床研究, 数据伦理, 药品, 临床数据管理, 负责任的人工智能, 电子病历, 医疗账单, 医疗保健, 健康信息学, 医疗保健伦理, 卫生系统, 应用机器学习, 数据挖掘, 临床研究伦理, 功能工程, 非结构化数据, 医疗保健行业知识
- 状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Standard Operating Procedure, ChatGPT, Customer Support, Product Support, AI Product Strategy, AI Personalization, Customer Analysis, Personalized Service, LLM Application, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Data Ethics, Customer Insights, Deep Learning, Image Quality, Machine Learning
- 状态:新状态:免费试用
您将获得的技能: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, ChatGPT, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Business Requirements, AI Product Strategy, Requirements Elicitation, Requirements Analysis, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Business Strategy, Image Quality, Machine Learning
- 状态:新状态:免费试用
您将获得的技能: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric
- 状态:预览
DeepLearning.AI
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Product Strategy, Artificial Neural Networks, Deep Learning, Responsible AI, Data Ethics, Machine Learning, Business Transformation, Data Science, Data Literacy
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 概率与统计, 机器学习, 探索性数据分析, 交互式数据可视化, GitHub, 统计建模, 统计推理, 回归分析, 数据展示, Rmarkdown, 机器学习算法, 闪亮(R 套件), 功能工程, Plotly, 数据科学, 数据可视化, R 语言程序设计(中文版), 统计假设检验, 预测建模, 统计分析
- 状态:新状态:预览
University of the Arts London
您将获得的技能: Music, Musical Composition, Artificial Intelligence, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Creativity, Interactive Design, Data Ethics, Music Performance, Human Computer Interaction, Responsible AI, Intellectual Property, Machine Learning
总之,以下是 10 最受欢迎的 机械 课程
- Learning Deep Learning: Unit 1: Pearson
- 应用数据科学: IBM
- Machine Learning, Data Science and Generative AI with Python: Packt
- Google Prompting Essentials: Google
- 医疗保健领域的人工智能: Stanford University
- Generative AI for Customer Support: IBM
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Generative AI for Business Analysts: IBM
- Data Science Fundamentals Part 2: Unit 3: Pearson
- الذكاء الاصطناعي للجميع: DeepLearning.AI