空中机器人课程可以帮助您学习无人机设计、飞行动力学、导航系统和传感器集成。您可以掌握自主飞行编程、数据收集技术和实时决策的技能。许多课程都会介绍一些工具,如用于模拟的 MATLAB、用于机器人系统的 ROS 以及各种无人机平台,让您能够将自己的技能应用到实际场景中,如空中测绘、监控和环境监测。

Fractal Analytics
您将获得的技能: 大型语言模型, 调试, 批判性思维, 面向对象编程(OOP), Prompt Engineering, 生成模型架构, Python 程序设计, 计算机编程, 生成式人工智能, 语义网, 人工神经网络
中级 · 课程 · 1-4 周

Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
初级 · 课程 · 1-3 个月

Columbia University
您将获得的技能: 计算机视觉, 无监督学习, 降维, 图论, 深度学习, 图像分析, 机器学习算法, Machine Learning 方法, Algorithm, 人工神经网络
初级 · 课程 · 1-3 个月

Coursera
您将获得的技能: 模型评估, 机器学习, 数据导入/导出, 数据预处理, ChatGPT, 应用机器学习, 性能调整, 张力流, Machine Learning 方法, Keras(神经网络库), 图像分析, Python 程序设计, 人工神经网络
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
中级 · 专项课程 · 3-6 个月

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
混合 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Data Manipulation, Machine Learning Methods, Data Preprocessing, Data Pipelines, Artificial Neural Networks
中级 · 课程 · 1-3 个月

您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: 机器学习, 模型评估, 非结构化数据, 自然语言处理, 健康信息学, 深度学习, 监督学习, 临床信息学, 医学术语, 计算机编程, 计算机编程工具, Python 程序设计, 文本挖掘, 人工神经网络, 数据挖掘
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
初级 · 专项课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric
攻读学位
初级 · 课程 · 1-4 周