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
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教师必需的
“心理学” 的结果
- 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:免费试用
DeepLearning.AI
您将获得的技能: 计算机视觉, 时间序列分析和预测, 人工智能, 预测建模, 人工神经网络, 监督学习, 预测, Machine Learning 方法, 机器学习, 人工智能和机器学习(AI/ML), 文本挖掘, 应用机器学习, 生成式人工智能, 数据处理, 深度学习, Keras(神经网络库), 图像分析, 张力流, 自然语言处理
- 状态:新
Google Cloud
您将获得的技能: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
- 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
Google
您将获得的技能: Generative AI, AI Product Strategy, Responsible AI, Machine Learning, Innovation, Critical Thinking
- 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
IBM
您将获得的技能: Prompt Engineering, 数据管道, 数据综合, AI 产品战略, 人工智能和机器学习(AI/ML), 数据架构, 机器学习, 数据伦理, ChatGPT, 生成式人工智能, 提示模式, 数据仓库, 深度学习, 数据基础设施, 数据库设计, 摘录, 图像质量, 负责任的人工智能, Query 语言, 数据挖掘
- 状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, AI Personalization, Responsible AI, Data Ethics, ChatGPT, Education Software and Technology, Anthropic Claude, AI Product Strategy, Learning Management Systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Ethical Standards And Conduct, Deep Learning, Image Quality, Machine Learning, Information Privacy, Emerging Technologies, Data Security
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 数据清理, 数据操作, R 语言程序设计(中文版), 统计可视化, 数据科学, GitHub, 降维, 探索性数据分析, 机器学习, 数据整理, Ggplot2, 数据可视化软件, 统计分析, Knitr, 数据共享, R(软件), Rmarkdown, 统计编程, 版本控制, 绘图(图形)
- 状态:免费试用
您将获得的技能: Big Data, Apache Hadoop, Serverless Computing, Applied Machine Learning, Apache Spark, Looker (Software), Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, SQL, Data Transformation, Artificial Intelligence, Scalability, Performance Tuning
- 状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Project Management, LLM Application, Project Management Life Cycle, Case Studies, AI Product Strategy, Work Breakdown Structure, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, Deep Learning, Image Quality, Machine Learning, Ethical Standards And Conduct
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, Program Management, ChatGPT, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, Business Risk Management, Stakeholder Management, Strategic Planning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Governance, Image Quality, Machine Learning
与 心理学 相关的搜索
总之,以下是 10 最受欢迎的 心理学 课程
- Generative AI for Business Analysts: IBM
- DeepLearning.AI TensorFlow 开发人员: DeepLearning.AI
- 生成式 AI:剖析基本概念: Google Cloud
- Google Advanced Data Analytics: Google
- Introduction to AI: Google
- IBM 人工智能工程: IBM
- 数据工程师的生成式 AI: IBM
- Generative AI for Educators: IBM
- 数据科学:使用 R 的基础: Johns Hopkins University
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud