Monday, October 27, 2014
Although the third edition (2014) is over 800 pages, the recipes are short and easy to understand, and most importantly, useful.
The beginning of the book covers how to interact with a MySQL database using the following common programming languages: Python, PHP (PDO), Perl, Ruby, and Java. The rest of the book deals mainly with queries that handle tasks like searching, sorting, joins, summarizing data, etc. In addition, topics related to database administration are well addressed.
I expect to refer to this book often, and would recommend it to others.
Wednesday, September 24, 2014
Calculate odds of sums and combinations for six-sided dice. For example, if you play Dice with Buddies or other dice games, you could use this app to compare strategies.
View Dice Probability in Apple App Store.
For a given sum and selected number of dice, the following probabilities are displayed: equality, greater than, less than, greater than or equal, less than or equal.
For combinations, the probability of a specific dice combination (ex: 3 ones, 2 fours) is displayed along with the probability for the same combination with any dice (ex: any full house).
Lastly, you can calculate probabilities for getting "at least" some number of dice. For example, the probability of getting at least two sixes using five dice.
The iPad version displays a bar graph of the relative probabilities.
Saturday, August 9, 2014
By working through 3 projects (ex: slot machine simulation) over several chapters, Garrett Grolemund introduces good programming practices and some important R foundational concepts (ex: functions, scoping, S3). The book is appropriate for people new to programming or R users who are comfortable running R commands but not familiar with writing functions. Code challenges and examples are clearly explained and the corresponding R output is shown.
The book intentionally does not cover graphics and modeling. Other books exist for graphics that are very good, so Grolemund sees no need to cover the same ground. Regarding modeling, a companion book, Data Science with R, is forthcoming.
Overall, I think the book is a very good starting point for anyone new to R or new to programming. It covers the basics well and is a confidence builder.
Monday, July 28, 2014
I would recommend the book to anyone interested in working with data because it provides a feeling of how Tableau can be used for quick exploration and presentation. A programming background is certainly not necessary for enjoying this book.
The book is not intended to be a complete reference, but it does provide some additional resources (training videos, tutorials, blogs, etc.) for learning more about Tableau features.
At this time, Tableau version 8.2 is available for download with a free 14 day trial period from Tableau Software.
Wednesday, July 9, 2014
In this video series, Paco Nathan attempts to relate how data can be structured to take advantage of advanced math and open source tools.
Although the videos touch on some useful areas of interest, the content didn't meet my expectations with respect to explanations of the math involved and the examples are overly simplistic at less than 50 lines of python code each.
After mastering the examples, it is hard to see how a business person would make the leap to implementing data workflow based on various open source tools without knowing anything about how the underlying math works.
On the plus side, the videos list links to additional resources (books and papers) for more details. Also, the historical context to the math concepts is given in many cases.
The videos are divided into 4 sections: Abstract Algebra, Linear Algebra, Bayesian Statistics, and Optimization. A book by the same title is due out in the summer of 2014.
In summary, my preference would be for more information regarding the math and more realistic examples.
Monday, June 16, 2014
A variety of resources for data analysis and machine learning. Additional suggestions are welcome.
R Package related blog posts and websites:
R Package related blog posts and websites:
- Plyr Package Tutorial by Sean Anderson
- Reshape2 Package Tutorial by Sean Anderson
- Classification and REgression Training (caret) Package website by Max Kuhn
Books covering the fundamentals:
- An Introduction to Statistical Learning (ISL) by James, Witten, Hastie, Tibshirani
- Elements of Statistical Learning (ESL) by Hastie, Tibshirani, Friedman
- Applied Predictive Modeling by Max Kuhn, Kjell Johnson
- Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi
- Coursera: Courses in the Data Science Specialization, Johns Hopkins University
- iTunes U: Linear Algebra by Gilbert Strang, MIT
- DataCamp.com (web based R tutorials)
- OpenRefine - for cleaning messy data
- Quandl - searchable date based numeric datasets via website or Quandl r package
- A Few Useful Things to Know About Machine Learning, Pedro Domingos, University of Washington
Sunday, June 1, 2014
Getting Started with Bluetooth Low Energy, by Kevin Townsend, Carles Cufí, Akiba, Robert Davidson, O'Reilly Media
The chapters are divided into 3 sections: Overview of BLE, Tools for Development and Testing, and Development Platforms. Depending on what you are trying to accomplish, you can jump around, but reading the book straight through is a good way to get an overall understanding before jumping into app or device development.
For app developers, there are separate chapters for Android and iOS that provide details of how to interact with BLE devices. In addition, the chapter on Application Design Tools lists several useful items that will make development much easier including: Bluetooth Application Accelerator, SensorTag, LightBlue for iOS, and nRF Master Control Panel for Android.
The last chapter, Embedded Application Development provides a starting point of what is involved with programming firmware for embedded devices.
Overall, a very good overview. I would recommend this book to anyone who is curious about the possibilities of Bluetooth LE. It seems like the combination of low cost devices and quality development tools will make for some interesting new uses.
View Getting Started with Bluetooth Low Energy in the O'Reilly Catalog.