Machine Learning and Reinforcement Learning in Finance
Master machine learning algorithms and tools for predicting financial markets, with focus on practical applications in trading and asset management.
Master machine learning algorithms and tools for predicting financial markets, with focus on practical applications in trading and asset management.
This specialization provides a comprehensive foundation in machine learning with specific applications to finance. Students learn core ML paradigms, reinforcement learning techniques, and their practical implementation in financial markets. The program covers supervised and unsupervised learning methods, option valuation, trading strategies, and market dynamics modeling, preparing professionals to solve real-world financial problems using advanced ML techniques.
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English
বাংলা, Tiếng Việt, پښتو, 4 more
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What you'll learn
Identify and understand different types of conflict
Master active listening and communication techniques
Develop effective conflict resolution strategies
Navigate intercultural communication challenges
Create comprehensive conflict management plans
Apply resolution skills to real-world situations
Skills you'll gain
This course includes:
72 Hours PreRecorded video
Peer reviewed assignments, case studies, portfolio project
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 courses in this program
Performance Marketing and Digital Advertising
Course 1 · 31 Hours to complete · 4 modules
Applied Data Science with R Specialization
Course 2 · 89 Hours to complete · 5 modules
Quantum Communication and Network Explorer
Course 3 · 4 Weeks to complete · 4 modules
Inspired Leadership Specialization
Course 4 · 63 Hours to complete · 5 modules
Fee Structure
Payment options
Financial Aid
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