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Theoretical Computer Science

필터링 기준

"theoretical computer science"에 대한 1149개의 결과

DeepLearning.AI
Natural Language Processing
획득할 기술: Machine Learning, Natural Language Processing, Statistical Programming, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Data Science, Statistical Machine Learning, Probability & Statistics, Algorithms, Bayesian Statistics, Communication, Computer Graphics, Computer Programming, Dimensionality Reduction, Experiment, General Statistics, Human Computer Interaction, Machine Learning Software, Markov Model, Mathematics, Operations Research, Regression, Research and Design, Strategy and Operations, Theoretical Computer Science, User Experience
4.6
(4.9k개의 검토)
Intermediate · Specialization · 3-6 Months
Meta
Meta Database Engineer
획득할 기술: Statistical Programming, Computer Programming, Data Management, Databases, Python Programming, SQL, Programming Principles, Software Engineering, Theoretical Computer Science, Database Administration, Database Application, Application Development, Computer Programming Tools, Software Architecture, Software Engineering Tools, Database Design, Database Theory, Software Testing, Data Analysis, Data Structures, Human Computer Interaction, Javascript, User Experience, Web Development, Applied Machine Learning, Business Analysis, Collaboration, Communication, Entrepreneurship, Exploratory Data Analysis, Leadership and Management, Linux, Machine Learning, Market Research, Operating Systems, Probability & Statistics, Research and Design, Accounting, Algorithms, Computer Science, Data Model, Data Warehousing, Django (Web Framework), Financial Analysis, Journalism, Mathematics, Operations Research, Other Programming Languages, Project Management, Strategy and Operations
4.7
(1.8k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM AI Engineering
획득할 기술: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Estimation, Econometrics, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics
4.6
(15.8k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
무료
Macquarie University
Excel Skills for Business
획득할 기술: Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis, Data Visualization, Plot (Graphics), Basic Descriptive Statistics, Computational Logic, Computer Architecture, Data Analysis Software, Data Management, Data Mining, Data Visualization Software, Extract, Transform, Load, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science
4.9
(56k개의 검토)
Beginner · Specialization · 3-6 Months
University of Pennsylvania
Business Analytics
획득할 기술: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science
4.6
(17.1k개의 검토)
Beginner · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
획득할 기술: Cloud Computing, Computer Architecture, Data Management, Google Cloud Platform, Cloud Platforms, Machine Learning, Big Data, Distributed Computing Architecture, Hardware Design, SQL, Information Technology, Data Science, Apache, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Cloud Management, Databases, Full-Stack Web Development, Python Programming, Web Development, Computer Programming, Statistical Programming, Applied Machine Learning, Computer Science, Computer Networking, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
(17.7k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer
획득할 기술: Machine Learning, Cloud Computing, Google Cloud Platform, Computer Programming, Cloud Platforms, Statistical Programming, Python Programming, Data Management, Applied Machine Learning, Feature Engineering, Tensorflow, Deep Learning, Entrepreneurship, Probability & Statistics, DevOps, Data Analysis, Big Data, Artificial Neural Networks, Business Psychology, Computer Architecture, Exploratory Data Analysis, Regression, Theoretical Computer Science, Data Science, Kubernetes, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Computer Networking, Data Model, Data Structures, Data Visualization, Distributed Computing Architecture, Extract, Transform, Load, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, Network Security, Performance Management, SQL, Security Engineering, Security Strategy, Statistical Machine Learning, Statistical Visualization, Strategy and Operations, Algorithms, Business Analysis, Cloud Applications, Cloud Infrastructure, Cloud Storage, Data Analysis Software, Data Architecture, Data Warehousing, Database Application, Databases, Dimensionality Reduction, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development
4.6
(25k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
획득할 기술: Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow
4.6
(17.4k개의 검토)
Intermediate · Specialization · 3-6 Months
Google
Prepare Data for Exploration
획득할 기술: Data Analysis, Exploratory Data Analysis, Spreadsheet Software, Data Structures, SQL, Computer Architecture, Computer Networking, Computer Programming, Cryptography, Data Management, Data Model, Database Administration, Database Design, Databases, Distributed Computing Architecture, Full-Stack Web Development, Network Security, Programming Principles, Security Engineering, Security Strategy, Software Security, Statistical Programming, Theoretical Computer Science, Web Development
4.8
(13k개의 검토)
Beginner · Course · 1-3 Months
IBM Skills Network
AI Foundations for Everyone
획득할 기술: Computer Science, Machine Learning, Applied Machine Learning, Data Science, Computational Thinking, Cloud Computing, IBM Cloud, Natural Language Processing, Computer Programming, Theoretical Computer Science, Deep Learning, Machine Learning Software, Computational Logic, Design and Product, Human Computer Interaction, Interactive Design, Product Design, Computer Vision, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools
4.7
(12.5k개의 검토)
Beginner · Specialization · 3-6 Months

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

Natural Language Processing: DeepLearning.AI
Meta Database Engineer: Meta
IBM AI Engineering: IBM Skills Network
Indigenous Canada: University of Alberta
Excel Skills for Business: Macquarie University
Become a CBRS Certified Professional Installer by Google: Google - Spectrum Sharing
Business Analytics: University of Pennsylvania
Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

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