自主机器人课程可以帮助您学习机器人控制编程、传感器集成和导航算法。您可以掌握机器学习应用、计算机视觉技术和实时数据处理方面的技能。许多课程都会介绍 ROS(机器人操作系统)、MATLAB 和 Python 等工具,这些工具支持开发和测试机器人系统。您还将探索路径规划、定位和机器人感知等关键主题,掌握设计和实施自主解决方案的实用知识。

DeepLearning.AI
您将获得的技能: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms
初级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing
初级 · 课程 · 1-4 周

AI Business School
您将获得的技能: Agentic Workflows, AI Workflows, Productivity, AI Orchestration, AI Personalization, AI Enablement, Responsible AI, Business Analysis, Business Technologies, Innovation, ChatGPT, Operational Efficiency, Risk Analysis
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Business Ethics, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Regression Analysis, Supervised Learning, Python Programming, Cloud Computing, Data Quality, Classification Algorithms, Artificial Neural Networks
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Keras (Neural Network Library), Tensorflow, Model Evaluation, Deep Learning, Convolutional Neural Networks, Transfer Learning, Data Preprocessing, Artificial Neural Networks, Computer Vision
中级 · 课程 · 1-3 个月

Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning
中级 · 专项课程 · 1-4 周

您将获得的技能: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics
中级 · 课程 · 1-4 周