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Andrew Wu
"인공지능 투자와 온라인 자산 관리의 진화에 대해 배워보세요.
온라인 투자 및 자산 관리가 전에 없이 쉬워졌는데, 과연 인공지능 투자가 제대로 작동할까요? 어떤 문제점이 있을까요?
이 강좌에서는 기술이 우리가 투자하는 방식을 어떻게 바꿔놓았는지 알아볼 거예요. 인공지능 기반 온라인 자산 관리 플랫폼과 로보어드바이저의 원리에 대해 알아보고, 왜 성공적인지 생각해 봅시다.
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"인공지능 투자와 온라인 자산 관리의 진화에 대해 배워보세요.
온라인 투자 및 자산 관리가 전에 없이 쉬워졌는데, 과연 인공지능 투자가 제대로 작동할까요? 어떤 문제점이 있을까요?
이 강좌에서는 기술이 우리가 투자하는 방식을 어떻게 바꿔놓았는지 알아볼 거예요. 인공지능 기반 온라인 자산 관리 플랫폼과 로보어드바이저의 원리에 대해 알아보고, 왜 성공적인지 생각해 봅시다.
Read more
"인공지능 투자와 온라인 자산 관리의 진화에 대해 배워보세요.
온라인 투자 및 자산 관리가 전에 없이 쉬워졌는데, 과연 인공지능 투자가 제대로 작동할까요? 어떤 문제점이 있을까요?
이 강좌에서는 기술이 우리가 투자하는 방식을 어떻게 바꿔놓았는지 알아볼 거예요. 인공지능 기반 온라인 자산 관리 플랫폼과 로보어드바이저의 원리에 대해 알아보고, 왜 성공적인지 생각해 봅시다.
인간 기반 데이터 중심의 투자 전략에서 신경망 전략으로 넘어가, 인공지능의 투자 결정 능력을 평가하고 거래 결정을 내릴 때 인공지능 및 머신 러닝이 어떤 역할을 하는지 알아봅시다."
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What's inside
Syllabus
개요
로보어드바이징
주식 선별 및 자산 관리
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Syllabus
개요
로보어드바이징
주식 선별 및 자산 관리
Read more
빅 데이터
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
이 과정은 인공지능 투자에 대한 기본 개념을 알기 위해 인공지능과 기계 학습에 대한 지식이 없는 학습자에게 적합합니다
인공지능(AI)을 활용한 투자 및 자산 관리의 원리를 알려주어 AI 분야에 관심이 있는 학습자에게 적합합니다
인공지능 투자 전략과 로보어드바이저의 원리에 대해 다루므로 투자 관리자, 재무 전문가, 기업가에게 유익합니다
이 과정은 인공지능 기술이 금융 산업에 미치는 영향을 이해하는 데 관심이 있는 경제학, 금융학 학생에게 도움이 될 수 있습니다
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Activities
Be better prepared
before
your course. Deepen your understanding
during
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after
it. Supplement your coursework and achieve mastery of the topics covered
in 투자 기술의 혁신: AI with these
activities:
동료 간 사례 연구 논의
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동료들과 협력하여 실제 사례 연구를 분석하여 개념적 이해를 심화합니다.
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관련 사례 연구 또는 핵심 문제를 찾습니다.
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소규모 그룹 또는 팀원을 구성합니다.
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사례 연구를 토론하고 해결책을 공유합니다.
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결과와 통찰력을 발표합니다.
과정 자료 요약 및 정리
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과정 내용을 효과적으로 정리하여 암기와 복습을 용이하게 합니다.
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강의 노트, 슬라이드, 과제 검토합니다.
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주요 개념, 아이디어, 공식을 요약합니다.
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정리된 자료를 定期的に 복습합니다.
Show all two activities
동료 간 사례 연구 논의
Show steps
동료들과 협력하여 실제 사례 연구를 분석하여 개념적 이해를 심화합니다.
Show steps
Show steps
Show steps
- 관련 사례 연구 또는 핵심 문제를 찾습니다.
- 소규모 그룹 또는 팀원을 구성합니다.
- 사례 연구를 토론하고 해결책을 공유합니다.
- 결과와 통찰력을 발표합니다.
과정 자료 요약 및 정리
Show steps
과정 내용을 효과적으로 정리하여 암기와 복습을 용이하게 합니다.
Show steps
Show steps
Show steps
- 강의 노트, 슬라이드, 과제 검토합니다.
- 주요 개념, 아이디어, 공식을 요약합니다.
- 정리된 자료를 定期的に 복습합니다.
Show all two activities
Career center
Learners who complete 투자 기술의 혁신: AI will develop knowledge and skills
that may be useful to these careers:
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They develop and implement trading strategies, and manage risk. This course may be useful for Quantitative Analysts who want to learn more about the latest AI techniques used in investment management. AI can be used to develop more sophisticated trading strategies, risk management systems, and other quantitative models that can help improve investment performance.
Investment Adviser
Investment Adviser
Investment Advisers provide investment advice to individuals and institutions. They help clients develop and implement investment plans, and manage their investments on an ongoing basis. This course may be useful for Investment Advisers who want to learn more about the latest AI techniques used in investment management. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to make better investment decisions and improve client returns.
Portfolio Manager
Portfolio Manager
Portfolio Managers are responsible for managing investments on behalf of clients. They make decisions about which investments to buy or sell, and how to allocate clients' assets. This course may be useful for Portfolio Managers who want to learn more about the latest artificial intelligence (AI) techniques used in investment management. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to make better investment decisions and improve portfolio performance.
Financial Analyst
Financial Analyst
Financial Analysts provide investment advice to individuals and institutions. They analyze financial data, identify trends, and make recommendations on which investments to buy or sell. This course may be useful for Financial Analysts who want to learn more about the latest AI techniques used in investment analysis. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to make better investment recommendations and improve client returns.
Risk Manager
Risk Manager
Risk Managers identify, assess, and manage risks. They develop and implement strategies to mitigate risks, and ensure that organizations are prepared for potential events. This course may be useful for Risk Managers who want to learn more about the latest AI techniques used in risk management. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to develop more effective risk management strategies and improve organizational resilience.
Data Scientist
Data Scientist
Data Scientists use statistical and machine learning techniques to analyze large amounts of data. They develop models and algorithms to identify trends and patterns, and make predictions. This course may be useful for Data Scientists who want to learn more about the latest AI techniques used in investment management. AI can be used to analyze large amounts of financial data, identify trends, and make predictions. This information can be used to make better investment decisions and improve portfolio performance.
Compliance Officer
Compliance Officer
Compliance Officers ensure that organizations comply with all applicable laws and regulations. They develop and implement compliance programs, and monitor compliance activities. This course may be useful for Compliance Officers who want to learn more about the latest AI techniques used in compliance. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to develop more effective compliance programs and improve organizational compliance.
Auditor
Auditor
Auditors examine financial records to ensure that they are accurate and complete. They also assess internal controls and make recommendations for improvements. This course may be useful for Auditors who want to learn more about the latest AI techniques used in auditing. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to improve the efficiency and effectiveness of audits.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with clients to understand their needs, and then design and develop software solutions that meet those needs. This course may be useful for Software Engineers who want to learn more about the latest AI techniques used in investment management. AI can be used to develop new trading strategies, risk management systems, and other software applications that can help improve investment performance.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance. They analyze business processes, identify areas for improvement, and develop and implement solutions. This course may be useful for Management Consultants who want to learn more about the latest AI techniques used in consulting. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to develop more effective consulting solutions and improve client outcomes.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course may be useful for Product Managers who want to learn more about the latest AI techniques used in product development. AI can be used to analyze customer data, identify trends, and make predictions. This information can be used to develop better products and improve product success.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work with marketing teams to create and implement marketing strategies, and measure the results of marketing campaigns. This course may be useful for Marketing Managers who want to learn more about the latest AI techniques used in marketing. AI can be used to analyze customer data, identify trends, and make predictions. This information can be used to develop more effective marketing campaigns and improve marketing ROI.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They develop and implement sales strategies, and coach and mentor sales representatives. This course may be useful for Sales Managers who want to learn more about the latest AI techniques used in sales. AI can be used to analyze customer data, identify trends, and make predictions. This information can be used to develop more effective sales strategies and improve sales performance.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are successful with a company's products or services. They work with customers to identify and resolve problems, and provide support and training. This course may be useful for Customer Success Managers who want to learn more about the latest AI techniques used in customer success. AI can be used to analyze customer data, identify trends, and make predictions. This information can be used to develop more effective customer success strategies and improve customer retention.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify areas for improvement. They develop and implement solutions to improve business performance. This course may be useful for Business Analysts who want to learn more about the latest AI techniques used in business analysis. AI can be used to analyze large amounts of data, identify trends, and make predictions. This information can be used to develop more effective business solutions and improve business outcomes.
For more career information including salaries, visit:
OpenCourser.com/course/qy4h5l/tuja
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
투자 기술의 혁신: AI.
Save
이 책은 기업이 AI를 활용하여 경쟁 우위를 확보하는 방법을 검토합니다. AI 투자의 잠재적 이점과 과제를 이해하는 데 도움이 될 것입니다.
Provides a practical guide to using machine learning for asset management. It covers topics such as data preparation, model selection, and performance evaluation. This book good resource for anyone interested in using machine learning to improve their investment performance.
A practical guide to using machine learning techniques for asset management. Provides hands-on examples and case studies to demonstrate how AI can improve investment decision-making.
Explores the potential of quantum computing to revolutionize the financial sector. Provides insights on how quantum algorithms can be used to solve complex problems and optimize investment strategies.
A practical guide to using natural language processing (NLP) techniques in finance. Provides hands-on examples and case studies to demonstrate how NLP can be used to extract insights from financial data.
Save
Provides a comprehensive overview of Python programming for finance. Covers topics such as data manipulation, visualization, and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qy4h5l/tuja
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Level
Introductory
Via
Coursera
Institution
University of Michigan
Instructor
Andrew Wu
Language
한국어
Transcripts
English
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Good to know
이 과정은 인공지능 투자에 대한 기본 개념을 알기 위해 인공지능과 기계 학습에 대한 지식이 없는 학습자에게 적합합니다
인공지능(AI)을 활용한 투자 및 자산 관리의 원리를 알려주어 AI 분야에 관심이 있는 학습자에게 적합합니다
인공지능 투자 전략과 로보어드바이저의 원리에 대해 다루므로 투자 관리자, 재무 전문가, 기업가에게 유익합니다
이 과정은 인공지능 기술이 금융 산업에 미치는 영향을 이해하는 데 관심이 있는 경제학, 금융학 학생에게 도움이 될 수 있습니다
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