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。

Copenhagen Business School
您将获得的技能: 人机交互, 理论计算机科学, 大型语言模型, 自然语言处理, 人工智能, 统计分析, 计算思维, 社会影响, 人类学习, 人工神经网络
初级 · 课程 · 1-4 周

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

DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning
中级 · 课程 · 1-4 周

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
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
中级 · 课程 · 1-4 周

Universidad Austral
您将获得的技能: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Dataflow, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)
中级 · 专项课程 · 3-6 个月

University of California, Davis
您将获得的技能: Digital Transformation, Innovation, Responsible AI, Digital Communications, Machine Learning, Data Ethics, Business Transformation, Blockchain, Emerging Technologies, Social Impact, Technology Strategies, Data Storage, AI Enablement, Artificial Intelligence, Digital Assets, Fundraising and Crowdsourcing, Technology Solutions, Business Ethics, Artificial Neural Networks, Generative AI
初级 · 专项课程 · 3-6 个月

Universidad Austral
您将获得的技能: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 机器学习, 分类算法, 模型评估, 回归分析, Scikit-learn (机器学习库), 张力流, Keras(神经网络库), 深度学习, 决策树学习, 随机森林算法, 人工神经网络, Python 程序设计
中级 · 课程 · 1-4 周

您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
初级 · 指导项目 · 不超过 2 小时