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: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
中级 · 专业证书 · 3-6 个月

DeepLearning.AI
您将获得的技能: 机器学习, 持续监测, 调试, 模型评估, 模型部署, MLOps(机器学习 Operator), 数据管道, 数据预处理, 应用机器学习, 功能工程, 云部署, Data Validation, 数据质量, 持续部署
中级 · 课程 · 1-4 周

MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Synthesis, Performance Tuning, Data Analysis, Network Architecture
初级 · 专项课程 · 1-3 个月

HRCI
您将获得的技能: 编写培训材料, 劳动力发展, 需求评估, 计划评估, 员工培训, 合规培训, 在职培训, 培训计划, 学习风格, 员工参与, 专业发展, 培训与发展, 成人教育, 教学设计
初级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月
University of London
您将获得的技能: 机器学习, 分类算法, 模型评估, 数据预处理, 人工智能, 数据收集, 图像分析, 数据分析
攻读学位
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Python 程序设计, 应用数学, Jupyter, Algorithm, 机器学习算法, 线性代数, NumPy
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Python 程序设计, 数据操作, 机器学习, Machine Learning 方法, 应用数学, 数学建模, 线性代数, NumPy, 数据预处理, 代数, 高等数学, 降维
中级 · 课程 · 1-4 周

Edge Impulse
您将获得的技能: 卷积神经网络, 机器学习, 深度学习, 数字信号处理, 模型部署, 模型评估, 嵌入式系统, 人工神经网络, 嵌入式软件, 功能工程, 数据伦理, 数据预处理, 计算机编程, 人工智能和机器学习(AI/ML), 应用机器学习, 数据分析
中级 · 课程 · 1-4 周

多位教师
您将获得的技能: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 1-3 个月

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