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Book Overview & Buying
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Table Of Contents
Data Smart
By :
You may have started this book with a rather ordinary set of skills in math and spreadsheet modeling, but if you're here, having made it through alive (and having not just skipped the first 10 chapters), then I imagine you're now a spreadsheet modeling connoisseur with a good grasp of a variety of data science techniques.
This book has covered topics ranging from classic operations research fodder (optimization, Monte Carlo, and forecasting) to unsupervised learning (outlier detection, clustering, and graphs) to supervised AI (regression, decision stumps, and naïve Bayes). You should feel confident working with spreadsheet data at this higher level.
I also hope that Chapter 10 showed you that now that you understand data science techniques and algorithms, it's quite easy to use those techniques from within a programming language such as R.
And if there's a particular topic that really grabbed you in this book, dive deeper! Want...
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