模式识别课程
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。
热门模式识别课程和认证
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 消费者行为, 数据驱动决策, 搜索引擎优化, 营销策略与技巧, 客户洞察, 实验, 营销自动化, 网络分析和搜索引擎优化, 在线广告, 数据架构, 社交媒体营销, 推动参与, 性能分析, 数字化转型, 新兴技术, 客户参与, 数据可视化, 营销策划, 营销渠道, MarTech
状态：免费试用您将获得的技能: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management
状态：免费试用您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
状态：免费试用您将获得的技能: Design Elements And Principles, Design, Adobe Photoshop, Digital Design, Creativity
状态：预览University of Michigan
您将获得的技能: 计算机编程, 计算机科学, 算法, 编程原则, 计算思维, 灾难恢复, 公共卫生, 解决问题
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms
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
状态：免费试用您将获得的技能: Adobe Photoshop, Journals, Design Thinking, Creative Design, Creativity, Design Strategies, Design, Graphic and Visual Design, Design Elements And Principles
状态：新状态：免费试用您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
状态：免费试用您将获得的技能: Layout Design, Creative Design, Graphic and Visual Design Software
状态：免费试用University of Washington
您将获得的技能: 可扩展性, 分类算法, 模型评估, 算法, 概率与统计, 大数据, 自然语言处理, 机器学习算法, 逻辑回归, 决策树学习, 数据预处理, 预测建模, 机器学习, 应用机器学习, 文本挖掘, 监督学习
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
总之，以下是 10 最受欢迎的 pattern recognition 课程
- 数字营销: University of Illinois Urbana-Champaign
- Data Science Foundations: IBM
- AI Applications: Computer Vision and Speech Recognition: Edureka
- Surface Pattern Design by Hand: Repeat Patterns on Paper: Skillshare
- 运用计算思维解决问题: University of Michigan
- Facial Expression Recognition with PyTorch : Coursera
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
- Watch Me Design a Pattern Collection: Creative Struggles: Skillshare
- TensorFlow: Build & Deploy Face Mask Detection: EDUCBA
- Surface Pattern Design: Key Principles for Amazing Patterns: Skillshare
