混合式学习课程可以帮助您学习教学设计、有效的评估策略以及整合在线和面对面教学的技巧。您可以培养创造引人入胜的学习体验、利用多媒体资源和促进学生之间合作的技能。许多课程都会介绍学习管理系统(LMS)、视频会议软件和互动平台等工具,展示这些技术如何增强混合式学习环境并支持多样化的学习需求。

您将获得的技能: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
高级设置 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression
攻读学位
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Python 程序设计, 探索性数据分析, 数据科学, 运筹学, 数据整理, NumPy, Pandas(Python 软件包), 数据清理, 数据结构, 数据转换, 数据预处理, 透视表和图表, 应用机器学习, 绘图(图形), Jupyter, 数据操作, 脚本, 编程原则, 数据分析, 供应链
初级 · 课程 · 1-4 周

Corporate Finance Institute
您将获得的技能: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
高级设置 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
中级 · 课程 · 1-4 周

University of California, Irvine
您将获得的技能: 语言能力, 语言学习, 语法, 英语, 词汇
初级 · 专项课程 · 1-3 个月

您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
混合 · 课程 · 1-3 个月

您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
中级 · 课程 · 1-3 个月

您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
混合 · 课程 · 1-4 周
CertNexus
您将获得的技能: 数据驱动的决策制定, 数据伦理, 监管合规, 解决方案设计, 合规管理, AI 赋能, 负责任的人工智能, 业务解决方案, 机器学习算法, 机器学习, 商业道德, 应用机器学习, 人工智能和机器学习(AI/ML), AI 产品战略, MLOps(机器学习 Operator), 项目实施, 模型评估
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 课程 · 1-4 周