Machine Learning Methods
最受欢迎
状态：免费试用Google Cloud
状态：免费试用Vanderbilt University
状态：免费试用University of Pennsylvania
状态：免费试用MathWorks
当前趋势
状态：免费试用
状态：免费试用IBM
- 状态：免费试用
Google Cloud
状态：免费试用DeepLearning.AI
最新发布
状态：免费试用Pearson
状态：免费试用Coursera
状态：免费试用Packt
状态：免费试用Whizlabs
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
字幕必需的
教师必需的
“machine learning methods” 的结果
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 线性代数, A/B 测试, 微积分, Machine Learning 方法, 数据转换, 统计推理, 抽样（统计）, NumPy, 降维, 概率, 概率分布, 描述性统计, 统计假设检验, 概率与统计, 数值分析, 统计分析, 贝叶斯统计, 数学建模
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 机器学习, 数据伦理, MLOps（机器学习 Operator）, 数据清理, 道德标准与行为, Machine Learning 方法, 监督学习, 分类与回归树 (CART), 产品生命周期管理, 测试数据, 机器学习算法, 数据处理, 数据质量, 功能工程, 应用机器学习, Jupyter, 项目管理, 业务运营, 负责任的人工智能, 数据验证
状态：免费试用状态：人工智能技能University of Pennsylvania
您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
- 状态：新状态：免费试用
Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
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
University of Pennsylvania
您将获得的技能: 机器学习, 人工智能, AI 产品战略, 企业战略, Data Governance, Machine Learning 方法, 数据伦理, 管理, 信用风险, 分析, 人力资源, 大数据, 生成式人工智能, 负责任的人工智能, 业务转型, 人力资源技术, 欺诈检测, 数据安全, AI 个性化服务, 机器学习算法
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: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms
状态：预览Duke University
您将获得的技能: 机器学习, 计算机视觉, Machine Learning 方法, PyTorch（机器学习库）, 无监督学习, 监督学习, 人工神经网络, Python 程序设计, 医学影像, 强化学习, 应用机器学习, 图像分析, 自然语言处理, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 线性代数, 数据操作, 数据科学, Machine Learning 方法, 数据转换, 降维, Python 程序设计, NumPy, 数学建模
状态：免费试用您将获得的技能: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
状态：免费试用University of Michigan
您将获得的技能: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, Algorithm, 人工智能, 线性代数, Machine Learning 方法, 监督学习, 人工智能和机器学习（AI/ML）, 机器学习算法, 数据处理, 降维, 人工神经网络, 功能工程, 概率与统计, 马尔可夫模型, 非结构化数据, 自然语言处理, 深度学习, 张力流, Keras（神经网络库）, 文本挖掘
