Book Review: Human Resource Management for MBA and Business Masters

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Human Resource Management for MBA and Business Masters
by Iain Henderson

My rating: 5 of 5 stars

The book Human Resource Management for MBA and Business Masters students offered an excellent introduction to the study of HRM, and I thoroughly recommend it as a way of cutting through the MBA material on HRM.
If you find the Marchington text on Human Resource Management at work a bit dense, then I’d recommend reading the Henderson book first. MBA students will be familiar with this book, which is a ‘big brother’ to the book by Henderson which I’m reviewing here.
Human Resource Management at Work
Henderson’s book distilled the main points of the debates, and it helped to cut through some of the noise before I attempted to go back and read the Marchington book. In other words, it was good to have the ‘skinny’ first before going back to read the Marchington book.
I am a visual learner and I liked the fact that Henderson’s book had diagrams. There were also some case studies, which are useful for my particular learning style because I could remember the examples.
This book is published by the CIPD and I’m glad to say that they did a good job of making this topic accessible. Thank you to Iain Henderson and the CIPD team.

I’m hoping that this academic knowledge will come in useful for my customers, and also for myself when I look at hiring people again. So there is a practical application to acquiring this knowledge, and I am looking forward to using it in the future.

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Book Review: Grokking Algorithms: An Illustrated Guide For Programmers and Other Curious People

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious PeopleGrokking Algorithms An Illustrated Guide For Programmers and Other Curious People by Aditya Y. Bhargava

My rating: 5 of 5 stars

I’ve just finished reading the Manning book called Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

This is a very readable book, with great diagrams and a very visual style. I recommend this book for anyone who wants to understand more about algorithms.
This is an excellent book for the budding data scientist who wants to get past the bittiness of learning pieces of open source or proprietary software here and there, and wants to learn what the algorithms actually mean in practice. It’s fairly easy to get away with looking like a real Data Scientist if you know bits of R or Python, I think, but when someone scratches the surface of that vision, it can become very apparent that the whole theory and deeper understanding can be missing. This book will help people to bridge the gap from learning bits here and there, to learning what the algorithms actually mean in practice.
Recommended. I’m expecting to find that people might ‘pinch’ the diagrams but I’d strongly suggest that they contact the author and credit appropriately.
I’d recommend this book, for sure. Enjoy!

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