机器人课程
机器人课程可以帮助您学习机器人控制编程、传感器集成和机械设计原理。您可以掌握自动化、系统故障排除和算法开发等技能，以完成导航和物体识别等任务。许多课程都会介绍一些工具，如 ROS（机器人操作系统）、用于设计的 CAD 软件以及可让您在虚拟环境中测试机器人系统的仿真平台。
热门机器人课程和认证
您将获得的技能: Spatial Data Analysis, Robotics, Artificial Intelligence, Data Manipulation, Simulations, NumPy
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
您将获得的技能: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
您将获得的技能: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
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
是什么让您今天来到 Coursera？
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Regression Analysis, Python Programming
您将获得的技能: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
您将获得的技能: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 robotics 课程
- Robot Localization with Python and Particle Filters: Coursera
- Basic Image Classification with TensorFlow: Coursera
- Medical Insurance Premium Prediction with Machine Learning: Coursera
- Object Localization with TensorFlow: Coursera
- Visualizing Filters of a CNN using TensorFlow: Coursera
- Mining Quality Prediction Using Machine & Deep Learning: Coursera
- Deep Learning for Real Estate Price Prediction: Coursera
- Create a Superhero Name Generator with TensorFlow: Coursera
- Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
