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Theoretical Computer Science

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"theoretical computer science"에 대한 906개의 결과

Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer
획득할 기술: Algorithms, Apache, Application Programming Interfaces, Applied Machine Learning, Bayesian Statistics, Business Analysis, Business Psychology, Cloud Computing, Cloud Platforms, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Model, Data Structures, Deep Learning, DevOps, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Mathematical Optimization, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science
4.6
(24.2k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
Stanford University
Algorithms
획득할 기술: Algorithms, Analysis, Computer Programming, Data Management, Data Structures, Entrepreneurship, General Statistics, Graph Theory, Graphs, Leadership and Management, Machine Learning, Mathematics, Operations Research, Path (Variable), Probability & Statistics, Problem Solving, Programming Principles, Research and Design, Strategy and Operations, Theoretical Computer Science
4.8
(5.4k개의 검토)
Intermediate · Specialization · 3-6 Months
Johns Hopkins University
Genomic Data Science
획득할 기술: Advertising, Algorithms, Amazon Web Services, Analysis, Big Data, Bioinformatics, Biology, Business Analysis, Cloud Applications, Cloud Computing, Cloud Platforms, Communication, Computer Graphics, Computer Programming, Computer Programming Tools, Data Analysis, Data Analysis Software, Data Management, Data Visualization, General Statistics, Graphics Software, Marketing, Other Programming Languages, Probability & Statistics, Python Programming, R Programming, Software Engineering, Statistical Analysis, Statistical Programming, Statistical Tests, Theoretical Computer Science
4.5
(5.5k개의 검토)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Machine Learning
획득할 기술: Algebra, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
(1k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
University of California, Davis
Search Engine Optimization (SEO)
획득할 기술: Accounting, Algorithms, Back-End Web Development, Communication, Data Analysis, Data Management, Data Model, Data Structures, Digital Marketing, Entrepreneurship, Forecasting, Human Computer Interaction, Influencing, Leadership and Management, Market Research, Marketing, Mathematical Optimization, Mathematics, Media Market, Persona Research, Probability & Statistics, Research and Design, Sales, Search Engine Optimization, Social Media, Social Media Marketing, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Theoretical Computer Science, User Experience, Web Development
4.6
(10.9k개의 검토)
Beginner · Specialization · 3-6 Months
Google
Process Data from Dirty to Clean
획득할 기술: Theoretical Computer Science, Data Analysis, Probability & Statistics, Computer Programming Tools, Computer Programming, Data Management, Extract, Transform, Load, Mathematical Theory & Analysis, Business Analysis, Spreadsheet, Cleaning, Spreadsheet Software, General Statistics, Statistical Programming, Databases, Data Model, Other Programming Languages, Database Design, Analysis, Mathematics, SQL, Computational Logic
4.8
(6.7k개의 검토)
Beginner · Course · 1-3 Months
University of Illinois at Urbana-Champaign
Accelerated Computer Science Fundamentals
획득할 기술: Algorithms, C Programming Language Family, C++ Programming, Computational Logic, Computer Architecture, Computer Program, Computer Programming, Data Management, Data Structures, Data Type, Feature Engineering, Graph Theory, Hardware Design, Machine Learning, Mathematical Theory & Analysis, Mathematics, Object-Oriented Programming, Other Programming Languages, Programming Principles, Theoretical Computer Science
4.7
(2.8k개의 검토)
Intermediate · Specialization · 1-3 Months
DeepLearning.AI
Neural Networks and Deep Learning
획득할 기술: Theoretical Computer Science, Probability & Statistics, Python Programming, Network Model, Business Psychology, Entrepreneurship, Supply Chain, Linear Algebra, Deep Learning, Logistic Regression, Artificial Neural Networks, Machine Learning Algorithms, Computer Programming, Computational Logic, Applied Machine Learning, Mathematical Theory & Analysis, Regression, Markov Model, Supply Chain Systems, Hardware Design, Mathematics, Algorithms, Bayesian Statistics, Computer Architecture, Computer Networking, General Statistics, Supply Chain and Logistics, Numpy, Machine Learning
4.9
(114.7k개의 검토)
Intermediate · Course · 1-4 Weeks
IBM Skills Network
IBM Introduction to Machine Learning
획득할 기술: Algebra, Algorithms, Analysis, Applied Machine Learning, Bayesian Statistics, Business Analysis, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.6
(997개의 검토)
Intermediate · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud DevOps Engineer
획득할 기술: Accounting, Architecture, Big Data, Billing & Invoicing, Cloud Computing, Cloud Infrastructure, Cloud Load Balancing, Cloud Platforms, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Continuous Delivery, Continuous Integration, Data Management, Databases, DevOps, Distributed Computing Architecture, Finance, Google App Engine, Google Cloud Platform, Kubernetes, Leadership and Management, Machine Learning, Network Architecture, Operations Management, Security, Software Architecture, Software As A Service, Software Engineering, Software Testing, Strategy and Operations, Theoretical Computer Science, Web Development
4.7
(50.1k개의 검토)
Beginner · Professional Certificate · 3-6 Months
Duke University
Java Programming and Software Engineering Fundamentals
획득할 기술: Algorithms, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cryptography, Data Analysis, Data Management, Data Structures, Entrepreneurship, General Statistics, HTML and CSS, Java (Software Platform), Java Programming, Javascript, Leadership and Management, Machine Learning, Markov Model, Mobile Development, Network Architecture, Principle, Probability & Statistics, Problem Solving, Programming Principles, Research and Design, Security Engineering, Software Engineering, Software Testing, Theoretical Computer Science, Web Design, Web Development
4.6
(20k개의 검토)
Beginner · Specialization · 3-6 Months

요약하자면, 여기에 가장 인기 있는 theoretical computer science 강좌 10개가 있습니다.

Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
Decentralized Finance (DeFi): The Future of Finance: Duke University
Algorithms: Stanford University
Genomic Data Science: Johns Hopkins University
IBM Machine Learning: IBM Skills Network
Search Engine Optimization (SEO): University of California, Davis
Process Data from Dirty to Clean: Google
Accelerated Computer Science Fundamentals: University of Illinois at Urbana-Champaign
Neural Networks and Deep Learning: DeepLearning.AI
IBM Introduction to Machine Learning: IBM Skills Network

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