Book review: Intelligent Systems in Oil Field Development under Uncertainty

How to know whether or not to produce an oil field, and how to know how? The oil industry is used to make a lot of simulations to satisfy the SEC rules, and to know how much oil they can drill today and in the future. This book goes further than just the usual how much from a field under specific condition, by adding the development plan as well as the oil price in the equation.

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Book review: Machine Learning for Adaptive Many-Core Machines – A Practical Approach

Nice title, surfing on the many core hype, and with a practical approach! What more could one expect from a book on such an interesting subject?

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Book review: It Sounded Good When We Started – A Project Manager’s Guide to Working with People on Projects

There are a lot of books on software project management best practices. But usually, they are not guides to work with people. And it is people who make projects, not money or computers.
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Book review: A Brief Introduction to Continuous Evolutionary Optimization

When I developed my first tool based on genetic algorithms, it was to replace local optimization algorithm (“Simulated Annealing”, as advertised by Numerical Recipes) as a global optimization algorithm. Now a couple of years later, I found a small book on GE that seemed on topic with what I had to implement (I relied at the time on another book that I never reviewed ; perhaps another time). Is it a good brief introduction as the book says?

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