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Statistical Classification

Related topics:콘볼루션 신경망 신용 위험 Keras 로지스틱 회귀 랜덤 포레스트 tensorflow python

필터링 기준

"statistical classification"에 대한 140개의 결과

IBM
IBM Applied AI
획득할 기술: Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Ethics, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Pandas, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools
4.6
(37k개의 검토)
Beginner · Professional Certificate
Google Cloud
Security in Google Cloud
획득할 기술: Big Data, Cloud Computing, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Networking, Data Management, Databases, Distributed Computing Architecture, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Machine Learning, Network Security, Operating Systems, Security, Security Engineering, Software As A Service, Software Security, System Security, Web Development
4.7
(45.3k개의 검토)
Intermediate · Specialization
University of Washington
Machine Learning
획득할 기술: Algorithms, Applied Machine Learning, Boosting (Machine Learning), Business Analysis, Business Psychology, Computational Logic, Computational Thinking, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Structures, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Estimation, Exploratory Data Analysis, General Statistics, Linearity, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.6
(15.6k개의 검토)
Intermediate · Specialization
IBM
Machine Learning with Python
획득할 기술: General Statistics, Analysis, Algorithms, Supply Chain and Logistics, Data Structures, K-Means Clustering, Machine Learning Algorithms, Probability & Statistics, Supply Chain Systems, Machine Learning, Data Management, Regression, Logistic Regression, Recommender Systems, Econometrics, Decision Tree, Supply Chain
4.7
(12.7k개의 검토)
Intermediate · Course
University of Illinois at Urbana-Champaign
Accounting Data Analytics
획득할 기술: Accounting, Algorithms, Analysis, Analytics, Business Analysis, Computer Programming, Correlation And Dependence, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Structures, Data Visualization, Data Visualization Software, Financial Accounting, Financial Analysis, Forecasting, General Statistics, Machine Learning, Management Accounting, Microsoft Excel, Operating Systems, Plot (Graphics), Probability & Statistics, Python Programming, Regression, Research and Design, Software, Spreadsheet Software, Statistical Analysis, Statistical Programming, Strategy and Operations, Systems Design, Taxes, Theoretical Computer Science
4.7
(463개의 검토)
Intermediate · Specialization
University of Pennsylvania
Operations Analytics
획득할 기술: Data Analysis, Computational Logic, Data Analysis Software, Accounting, Mathematical Optimization, Strategy and Operations, Decision Tree, Business Analysis, Leadership and Management, Simulation, Microsoft Excel, Forecasting, Analytics, Spreadsheet Software, Computer Programming Tools, Data Structures, Mathematical Theory & Analysis, Data Management, Computer Programming, Decision Making, Analysis, Probability & Statistics, Theoretical Computer Science, General Statistics, Mathematics, Entrepreneurship
4.7
(4.8k개의 검토)
Mixed · Course

요약하자면, 여기에 가장 인기 있는 statistical classification 강좌 10개가 있습니다.

PyCaret: Anatomy of Classification: Coursera Project Network
IBM Applied AI: IBM
Security in Google Cloud: Google Cloud
Advanced Learning Algorithms: DeepLearning.AI
Machine Learning: University of Washington
Customer Analytics: University of Pennsylvania
Machine Learning with Python: IBM
Accounting Data Analytics: University of Illinois at Urbana-Champaign
Machine Learning Introduction for Everyone: IBM
Supervised Machine Learning: Regression: IBM

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