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Murali Krishna Marimekala

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Month: May 2023

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  • 2023
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HPO MBA

Exploring the Perspectives of Lee Bolman and Terrence Deal: A Multi-Faceted Approach to Leadership

In the world of business, high-performing organizations stand out for their ability to achieve remarkable

May 17, 2023May 17, 2023
HPO MBA

Implementing the Balanced Scorecard Framework

Implementing the BSC framework requires a commitment from top leadership, a focus on performance management,

May 16, 2023
HPO MBA

Achieving Organizational Excellence Through Ethical Decision-Making

Ethical decision-making is a crucial aspect of any organization that strives for high performance and

May 14, 2023
HPO MBA

Mastering High-Performance Teamwork

When it comes to teamwork in High Performing Organizations, there are several critical considerations that

May 14, 2023May 14, 2023
HPO MBA

Three horizons of strategy framework

In today’s rapidly changing business environment, organizations need to be able to innovate and adapt

May 13, 2023May 13, 2023
HPO MBA

Developing Teams in High-Performing Organizations: Design, Composition, and Sizes

The success of an organization is directly related to the performance of its teams. A

May 12, 2023May 13, 2023
HPO MBA

Risk Mitigation Strategy followed by High Performing Organizations

Risk is inherent in any business, and high-performing organizations recognize that risk management is critical

May 11, 2023
HPO MBA

Risk Management in High Performing Organizations

Effective risk management is a critical component of any high-performing organization. Whether you are a

May 10, 2023
HPO MBA

Emerging trends in high performing organizations

In today’s rapidly evolving business landscape, high-performing organizations are those that can quickly adapt to

May 9, 2023May 9, 2023
HPO MBA

The Role of Strategy in Creating a High-Performing Organization

In earlier posts, we discussed more on High performing organizations and frameworks likeĀ  “The EFQM

May 8, 2023

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  • Feedforward Neural Networks: The Foundation of Modern AI Systems
  • Regularization Techniques: Building Smarter and Reliable AI Models
  • Gradient Descent and Optimization Algorithms: A Deep Dive into AI Learning Efficiency
  • Forward Propagation and Backpropagation: How Neural Networks Learn from Mistakes
  • Demystifying CNNs and Loss Functions: A Deep Dive into Image Classification
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