Key Performance Indicators: Developing, Implementing,and Using Winning KPIs by David Parmenter
My rating: 4 of 5 stars
This book cuts through the noise and gets straight to what KPIs should be tools that drive behavior and align with strategy. Parmenter’s key point is that not all metrics are KPIs. Real KPIs are non-financial, measured frequently, and tied to team actions.
The 12-step model for implementation is practical and detailed. It’s not a one day fix, but it gives you a clear roadmap. I found it especially useful for structuring KPI tracking in software project I currentlty working on.
If you’re in charge of performance at any level, this book helps you stop tracking what’s easy and start measuring what matters. Definitely worth reading.
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Monthly Archives: May 2025
Book Review: The Deep Learning Revolution by Terrence J. Sejnowski
The Deep Learning Revolution by Terrence J. Sejnowski
My rating: 4 of 5 stars
The Deep Learning Revolution by Terrence J. Sejnowski is a great book for anyone new to deep learning. It helped me understand the basic ideas behind how computers can learn, like how neural networks and algorithms such as backpropagation work. The book also tells the story of how deep learning developed over time, from early ideas that were ignored to the powerful tools we use today. Sejnowski shares real examples, key people, and major breakthroughs in a way that’s easy to follow. It also touches on how deep learning is used in things like speech recognition and self-driving cars, and why we need to think carefully about its impact on society.
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Book Review: Computer Vision by Jean-Jacques Reibel
Computer Vision by Jean-Jacques Reibel
My rating: 4 of 5 stars
Computer Vision (Computer Science) by Jean-Jacques Reibel is an accessible and concise introduction for anyone curious about how machines perceive and interpret visual information. Designed as a starting point for beginners, this book breaks down the complex world of computer vision into understandable concepts, covering its history, core techniques, and real-world applications—from facial recognition to autonomous vehicles. Whether you’re a student, a tech enthusiast, or a professional exploring AI, this guide offers a solid foundation to help you begin your journey into the fascinating field of computer vision.
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