Optimal Marketing Strategy

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Related lectures (32)

Page 2 of 4

Strategic Marketing: Understanding Customer Needs and Value Proposition

Explores strategic marketing, customer needs, and value proposition for successful marketing strategies.

Lindblad equation

Covers the interpretation of the Lindblad equation and its unitary part in quantum gases.

Markov Games: Concepts and Applications in Reinforcement Learning

Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.

Bonus Malus System: Transition Probabilities

Explores the Bonus Malus system for insurance premiums and Markov chain transition probabilities.

Reinforcement Learning Concepts

Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.

Tactical Marketing: Execution

Delves into tactical marketing strategies, income statements, pricing decisions, and the influence of digital marketing and user-generated content.

Introduction to Reinforcement Learning: Key Concepts and Applications

Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.

Probability & Stochastic Processes

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Developing Your Marketing Strategy

Explores core marketing strategy elements, segmentation, positioning, and customer-centric approaches for launching new ventures.

Understanding Customers and Competition: Key Steps and Analysis

Emphasizes the key steps in understanding customers and competition for new ventures.