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。

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

您将获得的技能: Amazon Bedrock, Prompt Engineering, Responsible AI, AI Security, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Model Deployment, Model Evaluation, Natural Language Processing
初级 · 课程 · 1-3 个月
University of Illinois Urbana-Champaign
您将获得的技能: 信息图表, 知识产权, 会计, 数据质量, 商业分析, 财务会计, 大数据, 数据故事, 收入确认, 资产管理, 数据收集, 数据分析, 现金流量, 数据可视化, 业务分析, 权责发生制会计, 财务报表, 网络模型, 数据扫盲, 分析
中级 · 专项课程 · 3-6 个月

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
初级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月

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
初级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
中级 · 课程 · 1-3 个月

您将获得的技能: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Data Analysis, Machine Learning Algorithms, Algorithms
中级 · 课程 · 1-3 个月

您将获得的技能: Scrum(软件开发), 积压工作, 交流, 软件设计, 计算机硬件, 冲刺计划, 冲刺回顾, 用户故事, 领导能力, 敏捷项目管理, 看板原则, DevOps, 信息技术, 敏捷软件开发, 软件开发生命周期, 风险管理, 软件设计模式, 软件开发方法, 软件架构, 敏捷方法
初级 · 专业证书 · 3-6 个月

Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
中级 · 课程 · 1-3 个月

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