Unity 2D Game Development

Managed to read half of the book, but was too exhausted to have any further interest to continue reading. Not that it is difficult, it is actually quite suitable for beginner. I think the book has too much distractions which are details that i don't really care (such as the logic of the game the authors tried to get the readers to develop, as it is not important for someone who already have experiences developing games) and no enough concise explanations on how various scenarios and technical issues to be handled using Unity 2D as game development tool.

The only good stuffs i got away from reading the book are:

1. the animation (such as Sprite Editor, Dope Sheet, Animator Editor)
2. the game physics part such as Polygon Collider, Collider2D, OnTriggerEnter2D

This book is definitely not something i am looking for (i am looking for a "recipe" type of book i guess), but the book may be good for someone who has the luxury of time to follow through the entire tutorial of developing a 2D game.

https://www.packtpub.com/game-development/unity-2d-game-development

Data Mining Cookbook: Modeling Data for Marketing, Risk, and Customer Relationship Management

Although from my personal opinion, the book is not very well written, it provides quite a bit of insights on how mining method such as logistic regression can be used to customer segmentation, profiling, and create various targeting, propensity models for marketing and risk as well as customer relationship management. the illustrated programming language is in SAS, but the code is not completely listed in the book. It is not a beginning book for SAS but a seasoned programmer who previously does not programme in SAS should not have difficulty picking up the code and implementation in the book. btw the book is outdated,

http://www.amazon.com/Data-Mining-Cookbook-Relationship-Management/dp/0471385646

Reading Status: Not Completed.

Programming Collective Intelligence: Building Smart Web 2.0 Application

Very easy-to-understand book on how to apply machine learning and computational intelligence methods on web data.

http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325

Status: Not Completed

S-Q Course Book

The book below i primarily used it for some computation in Monte Carlo simulation, but it is a very good and easy-to-understand book for learning data structure for scientific computation:

http://ellard.org/dan/www/Courses/sq98_root.pdf

Reading Status: Not Completed

Supply Chain Optimization Design and Management Advances and Intelligent Methods.

Very nice book about the recent supply chain optimization method as well as computational intelligence approach for solving problems such customer uncertainty, etc.
Reading Status: Not Completed

Learning OpenCV Computer Vision with the OpenCV library

This is a very easy to understand book on computer vision which uses the OpenCV library to develop computer vision and learning applications.
Reading Status: Not Completed

Stochastic Local Search Application and Foundations

This is another book that i studied when implementing algorithms for VRP

Link: http://www.sls-book.net/
Reading Status: Completed

Mining the Social Web

Very useful book on using python tools to mine the web

Link: http://www.amazon.com/Mining-Social-Web-Matthew-Russell/dp/1449367615/ref=sr_1_2?s=books&ie=UTF8&qid=1373020345&sr=1-2&keywords=Mining+the+Social+Web
Reading Status: Not Completed

The Selfish Gene

A must have book for a researcher in memetic computation

Link: http://www.amazon.com/The-Selfish-Gene-Edition-Introduction/dp/0199291152\
Reading Status: Not Completed

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent.

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.

Link: http://www.amazon.com/books/dp/1615206337

Reading Status: Not Completed

Exploring Everyday Things with R and Ruby

If you’re curious about how things work, this fun and intriguing guide will help you find real answers to everyday problems. By using fundamental math and doing simple programming with the Ruby and R languages, you’ll learn how to model a problem and work toward a solution.

All you need is a basic understanding of programming. After a quick introduction to Ruby and R, you’ll explore a wide range of questions by learning how to assemble, process, simulate, and analyze the available data. You’ll learn to see everyday things in a different perspective through simple programs and common sense logic. Once you finish this book, you can begin your own journey of exploration and discovery.

Link: http://shop.oreilly.com/product/0636920022626.do

Reading Status: Not Completed

Introduction to Scientific Programming and Simulation Using R

An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducing stochastic modelling. Stochastic modelling in particular, and mathematical modelling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems.

Link: http://www.amazon.com/Introduction-Scientific-Programming-Simulation-Chapman/dp/1420068725

Reading Status: Not Completed

An Introduction to Multi Agent System

Multiagent systems are a new paradigm for understanding and building distributed systems, where it is assumed that the computational components are autonomous: able to control their own behaviour in the furtherance of their own goals.  The first edition of An Introduction to Multiagent Systems was the first contemporary textbook in the area, and became the standard undergraduate reference work for the field. This second edition has been extended with substantial new material on recent developments in the field, and has been revised and updated throughout. It provides a comprehensive, coherent, and readable introduction to the theory and practice of multiagent systems, while presenting a wealth of discussion topics and pointers into more advanced issues for those wanting to dig deeper.

Link: http://www.cs.ox.ac.uk/people/michael.wooldridge/pubs/imas/IMAS2e.html

Reading Status: Not Completed

Evolutionary Game Theory

This text introduces current evolutionary game theory -- where ideas from evolutionary biology and rationalistic economics meet -- emphasizing the links between static and dynamic approaches and noncooperative game theory. Much of the text is devoted to the key concepts of evolutionary stability and replicator dynamics. The former highlights the role of mutations and the latter the mechanisms of selection. Moreover, set-valued static and dynamic stability concepts, as well as processes of social evolution, are discussed. Separate background chapters are devoted to noncooperative game theory and the theory of ordinary differential equations. There are examples throughout as well as individual chapter summaries.Because evolutionary game theory is a fast-moving field that is itself branching out and rapidly evolving, Jörgen Weibull has judiciously focused on clarifying and explaining core elements of the theory in an up-to-date, comprehensive, and self-contained treatment. The result is a text for second-year graduate students in economic theory, other social sciences, and evolutionary biology. The book goes beyond filling the gap between texts by Maynard-Smith and Hofbauer and Sigmund that are currently being used in the field.Evolutionary Game Theory will also serve as an introduction for those embarking on research in this area as well as a reference for those already familiar with the field. Weibull provides an overview of the developments that have taken place in this branch of game theory, discusses the mathematical tools needed to understand the area, describes both the motivation and intuition for the concepts involved, and explains why and how it is relevant to economics.

Link: http://www.amazon.com/Evolutionary-Game-Theory-Jorgen-Weibull/dp/0262731215
Reading Status: not completed