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在整个课程(说明和评估)中使用的语言。
了解产品必需的
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课程长度必需的
技能必需的
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“机器学习” 的结果
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Responsible AI, Prompt Patterns, Generative AI, ChatGPT, Digital Advertising, Email Marketing, Digital Marketing, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Social Media Marketing, Copywriting, Artificial Intelligence and Machine Learning (AI/ML), Search Engine Optimization, Machine Learning
- 状态:免费试用
University of Michigan
您将获得的技能: Python 程序设计, 回归分析, 决策树学习, 预测建模, 无监督学习, 降维, 监督学习, 随机森林算法, 功能工程, 应用机器学习, 机器学习, Scikit-learn (机器学习库)
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 大型语言模型, LLM 申请, 人工智能和机器学习(AI/ML), 计划发展, 生成式人工智能, 软件开发方法, 机器学习, Prompt Engineering, 代码审查
- 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
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 人工智能, 计算机视觉, 人工神经网络, Keras(神经网络库), 张力流, 机器学习, 图像分析, 深度学习
- 状态:免费试用
Imperial College London
您将获得的技能: Python 程序设计, 线性代数, 数据科学, 微积分, 统计, 降维, 概率与统计, 机器学习, Jupyter, NumPy
Peking University
您将获得的技能: Vocabulary, Oral Comprehension, Language Competency, Literacy, Language Learning, Grammar
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:免费试用
University of Alberta
您将获得的技能: 线性代数, 人工智能, Algorithm, 概率分布, 马尔可夫模型, 机器学习, 强化学习
- 状态:新状态:免费试用
您将获得的技能: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy
- 状态:新状态:预览
University of Maryland, College Park
您将获得的技能: Accounting and Finance Software, Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Financial Reporting, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing
- 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
与 机器学习 相关的搜索
总之,以下是 10 最受欢迎的 机器学习 课程
- Generative AI for Digital Marketing: IBM
- Python 中的应用机器学习: University of Michigan
- 软件开发中的生成式 AI 简介: DeepLearning.AI
- Creative AI: Sound, Music and Interaction: University of the Arts London
- 用于人工智能、机器学习和深度学习的 TensorFlow 简介: DeepLearning.AI
- 机器学习数学PCA: Imperial College London
- Chinese for HSK 5: Peking University
- Machine Learning on Google Cloud: Google Cloud
- 强化学习基础: University of Alberta
- Foundations of Data Science and Machine Learning with Python: Packt