What is pattern recognition?

Pattern recognition is the automated recognition of patterns, or repeated designs, in data. It is a part of data mining and consists of multiple mining patterns. Pattern recognition is used for data streams, software bugs, and image analysis. It is also a big part of biological and biomedical studies for patterns of behavior in patients or image analysis like an MRI.

Why is it important to learn about pattern recognition?

If you have a passion for data mining or want to get into a biomedical career like neuroimaging, learning about pattern recognition will help you dive deeper into pattern discovery and help you explore other areas of interest. Learning about pattern recognition will help you understand data-driven mining and other applications of pattern discovery, which is useful for interpreting real-world data and imaging.

How can online courses on Coursera help me learn pattern recognition?

Online courses on Coursera will help you gain an understanding of various areas of data mining including pattern recognition. The instruction provides you the opportunity to learn the necessary skills to practice and progress in pattern recognition. These courses go into numerous topics, helping you learn in-depth material to propel you forward in your career or help you pursue a new area of interest. Online courses on Coursera give you the flexibility to work at any time, and they have experts ready to guide you along as you progress through the course.

What are typical careers that use pattern recognition?

You can put your skills and knowledge learned about pattern recognition into a career in computer science or data analytics. With these skills, you'll be able to apply them to improving software and apps to better their performance and problem solve using various methods. You can also go into marketing analysis to understand consumers' behavior and help recognize business opportunities. Another career where pattern recognition is used is in the area of neuroscience to look at brain patterns and read different images like ones from an MRI. In this career, you will use your skills to identify where there is a mishap in the brain's function to help diagnose patients.

Обзор
Pattern Recognition

Фильтр

Результатов для запроса ''pattern recognition': 35

IBM
Key Technologies for Business
Получаемые навыки: Applied Machine Learning, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Mining, Deep Learning, DevOps, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science
4.7
(рецензий: 65.3k)
Beginner · Specialization
University of Virginia Darden School Foundation
IBM & Darden Digital Strategy
Получаемые навыки: Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Strategy, Change Management, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Entrepreneurship, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market Research, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Research and Design, Sales, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Statistical Analysis, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science
4.7
(рецензий: 17.9k)
Beginner · Specialization
IBM
IBM AI Foundations for Business
Получаемые навыки: Applied Machine Learning, Communication, Computer Vision, Data Analysis, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Entrepreneurship, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Probability & Statistics, Regression, Strategy and Operations
4.7
(рецензий: 63.7k)
Beginner · Specialization
DeepLearning.AI
Natural Language Processing
Получаемые навыки: Artificial Neural Networks, Computer Graphics, Computer Programming, Deep Learning, General Statistics, Human Computer Interaction, Language, Machine Learning, Machine Learning Algorithms, Mathematics, Modeling, Natural Language Processing, Operations Research, Probability & Statistics, Python Programming, Regression, Research and Design, Statistical Programming, Strategy and Operations, User Experience
4.6
(рецензий: 4.5k)
Intermediate · Specialization
University of Michigan
Applied Data Science with Python
Получаемые навыки: Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Probability & Statistics, Programming Principles, Python Programming, Regression, Social Network, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.5
(рецензий: 31.9k)
Intermediate · Specialization
EDHEC Business School
Investment Management with Python and Machine Learning
Получаемые навыки: Accounting, Business Analysis, Communication, Computer Programming, Data Analysis, Data Mining, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematics, Natural Language Processing, Probability & Statistics, Probability Distribution, Programming Principles, Python Programming, Risk Management, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science
4.6
(рецензий: 1.5k)
Beginner · Specialization
Johns Hopkins University
Neuroscience and Neuroimaging
Получаемые навыки: Account Management, Accounting, Accounting Software, Adaptability, Advertising Sales, Algebra, Amazon Web Services, Artificial Neural Networks, Bioinformatics, Business Analysis, Business Psychology, Cloud Computing, Cloud Storage, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Programming Tools, Computer Vision, Data Analysis, Data Mining, Data Visualization, Entrepreneurship, Experiment, General Statistics, Human Resources, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Neuroscience, Operating Systems, Probability & Statistics, R Programming, Regression, Sales, Statistical Analysis, Statistical Programming, Statistical Visualization, Systems Design, Theoretical Computer Science
4.6
(рецензий: 2.8k)
Intermediate · Specialization
SAS
SAS Visual Business Analytics
Получаемые навыки: Accounting, Algorithms, Analysis, Analytics, Big Data, Business Analysis, Business Intelligence, Communication, Data Analysis, Data Management, Data Mining, Data Visualization, Forecasting, Geovisualization, Interactive Data Visualization, Machine Learning, Marketing, Mathematics, Natural Language Processing, Probability & Statistics, SAS (Software), Statistical Programming, Theoretical Computer Science
4.7
(рецензий: 899)
Beginner · Professional Certificate
University of Illinois at Urbana-Champaign
Data Mining
Получаемые навыки: Accounting, Algorithms, Analysis, Applied Machine Learning, Bayesian Statistics, Big Data, Bioinformatics, Business Analysis, Calculus, Computational Logic, Computer Architecture, Computer Graphics, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Distributed Computing Architecture, Financial Analysis, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science, Visualization (Computer Graphics)
4.5
(рецензий: 2.7k)
Intermediate · Specialization

10 самых популярных курсов по запросу pattern recognition

Finance, Analysis & Modeling MasterTrack® Certificate: Macquarie University
Problem Solving Using Computational Thinking: University of Michigan
Analyze User Experience (UX) Survey Data in Miro: Coursera Project Network
Key Technologies for Business: IBM
IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
IBM AI Foundations for Business: IBM
Natural Language Processing: DeepLearning.AI
Applied Data Science with Python: University of Michigan
Investment Management with Python and Machine Learning: EDHEC Business School
Neuroscience and Neuroimaging: Johns Hopkins University

Навыки, которые вы можете получить здесь: Design And Product

Пользовательский Интерфейс (18)

Взаимодействие С Пользователем (16)

Тестирование Программного Обеспечения (13)

Разработка Игр (11)

Гибкая Разработка Программного Обеспечения (10)

Графика (10)

Виртуальная Реальность (9)

Дизайн-мышление (8)

Веб (8)

Разработка Компьютерных Игр (7)

Веб-дизайн (7)

Adobe Photoshop (6)

Часто задаваемые вопросы на тему Pattern Recognition

If you have a passion for data mining or want to get into a biomedical career like neuroimaging, learning about pattern recognition will help you dive deeper into pattern discovery and help you explore other areas of interest. Learning about pattern recognition will help you understand data-driven mining and other applications of pattern discovery, which is useful for interpreting real-world data and imaging.‎
Online courses on Coursera will help you gain an understanding of various areas of data mining including pattern recognition. The instruction provides you the opportunity to learn the necessary skills to practice and progress in pattern recognition. These courses go into numerous topics, helping you learn in-depth material to propel you forward in your career or help you pursue a new area of interest. Online courses on Coursera give you the flexibility to work at any time, and they have experts ready to guide you along as you progress through the course.‎
You can put your skills and knowledge learned about pattern recognition into a career in computer science or data analytics. With these skills, you'll be able to apply them to improving software and apps to better their performance and problem solve using various methods. You can also go into marketing analysis to understand consumers' behavior and help recognize business opportunities. Another career where pattern recognition is used is in the area of neuroscience to look at brain patterns and read different images like ones from an MRI. In this career, you will use your skills to identify where there is a mishap in the brain's function to help diagnose patients.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.