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필터링 기준

"list & label"에 대한 73개의 결과

Databricks
Applied Data Science for Data Analysts
획득할 기술: Algorithms, Computer Programming, Data Management, Machine Learning, Probability & Statistics, Theoretical Computer Science, Mathematics, Feature Engineering, Machine Learning Algorithms, Applied Machine Learning, General Statistics, Data Science, Data Structures, Dimensionality Reduction, Statistical Programming
4.4
(36개의 검토)
Intermediate · Course · 1-3 Months
IBM
AI Workflow: Machine Learning, Visual Recognition and NLP
획득할 기술: Machine Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Statistical Machine Learning, Algebra, Computer Vision, Data Engineering, Data Science, Deep Learning, Econometrics, Mathematics, Python Programming, Tensorflow
4.4
(66개의 검토)
Advanced · Course · 1-4 Weeks
무료
University of Illinois at Urbana-Champaign
Digital Marketing
획득할 기술: Marketing, Digital Marketing, Research and Design, Communication, Entrepreneurship, Sales, Leadership and Management, Business, Marketing Management, Market Research, Marketing Design, Strategy and Operations, Media Strategy & Planning, Media Production, Design and Product, Strategy, Business Analysis, Market Analysis, Product Marketing, Customer Analysis, Advertising Sales, Business Development, Product Management, Advertising, Brand Management, MarTech, Influencing, Social Media, Business Design, Collaboration, Data Analysis, Finance, Public Relations, Search Engine Optimization, Web Design, Web Development, Business Psychology, Change Management, Customer Support, Human Learning, Journalism, Marketing Psychology, Packaging and Labeling, Product Design, Survey Creation, Visual Design, Accounting, Back-End Web Development, Big Data, Computer Graphics, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Human Computer Interaction, Product Development, Statistical Analysis, Supply Chain and Logistics, Virtual Reality
4.7
(21.9k개의 검토)
Beginner · Specialization · 3-6 Months
DeepLearning.AI, Amazon Web Services
Practical Data Science on the AWS Cloud
획득할 기술: Machine Learning, Advertising, Amazon Web Services, Cloud Computing, Communication, Computer Programming, Data Analysis, Deep Learning, Exploratory Data Analysis, Feature Engineering, Marketing, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, Python Programming, Statistical Programming
4.6
(438개의 검토)
Advanced · Specialization · 1-3 Months
무료
Technische Universität München (TUM)
The Economics of Agro-Food Value Chains
획득할 기술: Entrepreneurship, Research and Design, Marketing, Leadership and Management, Strategy and Operations, Sales, Market Research, Strategy, Innovation, Design and Product, Supply Chain and Logistics, Data Analysis, Probability & Statistics, Contract Management, Product Management, Product Marketing, Retail Store Operations, Business Psychology, General Statistics, Mathematics, Accounting, Audit, B2B Sales, Business Analysis, Business Development, Communication, Finance, Human Resources, Linear Algebra, Market Analysis, Organizational Development, Product Strategy, Advertising, Basic Descriptive Statistics, Behavioral Economics, Budget Management, Calculus, Collaboration, Compensation, Computer Programming, Econometrics, General Accounting, Leadership Development, Planning, Problem Solving, Programming Principles, Retail Sales, Software Architecture, Software Engineering, Statistical Analysis, Supply Chain Systems, Theoretical Computer Science
4.5
(392개의 검토)
Intermediate · Course · 3-6 Months
무료
무료

요약하자면, 여기에 가장 인기 있는 list & label 강좌 10개가 있습니다.

GIS Data Acquisition and Map Design: University of Toronto
Applied Data Science for Data Analysts: Databricks
Cloud Data Engineering: Duke University
AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
Data Mining for Smart Cities: Indian Institute of Technology Roorkee
Digital Marketing: University of Illinois at Urbana-Champaign
Practical Data Science on the AWS Cloud: DeepLearning.AI
The Economics of Agro-Food Value Chains: Technische Universität München (TUM)
Optimize ML Models and Deploy Human-in-the-Loop Pipelines: DeepLearning.AI
Unsupervised Machine Learning: IBM Skills Network

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