
多位教师
您将获得的技能: 分类与回归树 (CART), 人工智能, 预测建模, NumPy, 强化学习, 随机森林算法, 机器学习, 深度学习, 应用机器学习, Python 程序设计, 数据伦理, 负责任的人工智能, 决策树学习, Jupyter, 监督学习, Scikit-learn (机器学习库), 张力流, 无监督学习, 功能工程, 人工神经网络
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 概率与统计, 描述性统计, A/B 测试, 概率分布, 机器学习, 抽样(统计), 数值分析, 数学建模, 降维, NumPy, 统计分析, 概率, 应用数学, 贝叶斯统计, 数据转换, 统计假设检验, 微积分, Machine Learning 方法, 统计推理, 线性代数
中级 · 专项课程 · 1-3 个月

您将获得的技能: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: 云计算, 微软 Azure, 数据操作, GitHub, 应用程序部署, Pandas(Python 软件包), 机器学习, 负责任的人工智能, NumPy, Python 程序设计, 探索性数据分析, 数据管理, Data Management, 数据分析, Devops, MLOps(机器学习 Operator), 大数据, 集装箱化, CI/CD, 数据管道, AWS SageMaker
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 数据清理, 深度学习, 机器学习算法, 数据访问, 回归分析, 强化学习, 降维, 预测建模, 机器学习, 生成模型架构, 时间序列分析和预测, Python 程序设计, 探索性数据分析, 应用机器学习, 数据分析, 数据科学, 统计推理, 功能工程, 监督学习, 无监督学习
攻读学位
中级 · 专业证书 · 3-6 个月

您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Literacy, No-Code Development, Business Analytics, Data Science, Applied Machine Learning, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Ethics, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
初级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: 概率与统计, 数据操作, 统计, 机器学习算法, 机器学习, 回归分析, 衍生产品, 降维, NumPy, 统计分析, Python 程序设计, 应用数学, 微积分, 数据科学, Jupyter, Algorithm, 高等数学, 人工神经网络, 线性代数
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
中级 · 专项课程 · 1-3 个月

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
中级 · 专项课程 · 3-6 个月

Google Cloud
您将获得的技能: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
高级设置 · 专项课程 · 3-6 个月

University of Washington
您将获得的技能: 分类与回归树 (CART), 人工智能, 机器学习算法, 机器学习, 回归分析, 文本挖掘, 深度学习, 预测建模, 贝叶斯统计, 功能工程, 数据挖掘, 预测分析, 大数据, 应用机器学习, 监督学习, 统计建模, 无监督学习, 图像分析, 计算机视觉, 统计机器学习
中级 · 专项课程 · 3-6 个月