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。

Northeastern University
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Embeddings, Deep Learning, Applied Machine Learning
混合 · 课程 · 1-3 个月

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics
混合 · 课程 · 1-4 周

Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
初级 · 课程 · 1-4 周
您将获得的技能: Mobile Security, AI Security, Threat Detection, Security Controls, Exploit development, Threat Modeling, Hardening, Threat Management, Endpoint Security, Artificial Intelligence, Mobile Development Tools, Deep Learning, Incident Response, Information Privacy
中级 · 课程 · 1-4 周

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

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

Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
中级 · 课程 · 1-4 周

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

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining
中级 · 课程 · 1-4 周

您将获得的技能: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
混合 · 课程 · 1-3 个月

您将获得的技能: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
初级 · 课程 · 1-4 周

Birla Institute of Technology & Science, Pilani
您将获得的技能: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Data Preprocessing, Semantic Web, Artificial Neural Networks, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Probability & Statistics
中级 · 课程 · 1-3 个月