模式识别课程可以帮助您学习数据分析、Feature Extraction 和图像分析技术。您可以掌握统计建模、Machine Learning 算法和 Neural Network 设计方面的技能。许多课程会介绍 TensorFlow 和 Scikit-learn 等 Python 库等工具,这些工具用于在涉及 AI 和人工智能应用的项目中实现这些技术。

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation
混合 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
中级 · 课程 · 1-3 个月

您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周

您将获得的技能: Program Development, Debugging
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
中级 · 课程 · 1-3 个月

University at Buffalo
您将获得的技能: 应用数学, 概率与统计, 计算机视觉, 增强现实, 计算机编程, 人工智能, 数字信号处理, 计算机图形学, 色彩理论, 算法, Matlab, 图像分析, 微积分
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
中级 · 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, 图论, 机器学习算法, 降维, 深度学习, 算法, 图像分析, 人工神经网络, 机器学习方法
初级 · 课程 · 1-3 个月

您将获得的技能: Image Analysis, Cloud Deployment, Tensorflow, Amazon Web Services, Convolutional Neural Networks, Model Deployment, Application Development, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Preprocessing
混合 · 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