Reviews by Carsten Jorgensen

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Jump Start Bootstrap

Jump Start Bootstrap

Get Up to Speed With Bootstrap in a Weekend

Carsten's rating: StarStarStarStarStar 4.0

On Nov 6, 2014 Carsten Jorgensen wrote: Great introduction to Responsive Web Design
Jump Start Bootstrap is a quick and easy read and a great introduction to Responsive Web Design for back-end developers and is definitely recommendable. Full Review >

Data Algorithms

Data Algorithms

Recipes for Scaling Up with Hadoop and Spark

Carsten's rating: StarStarStarStarStar 4.0

On Sep 14, 2014 Carsten Jorgensen wrote: Impressive piece of work
The book covers an impressive number of data algorithms formulated within the MapReduce framework and the examples are easily reused in your own work. Full Review >

R Cookbook

R Cookbook

Proven Recipes for Data Analysis, Statistics, and Graphics

Carsten's rating: StarStarStarStarStar 4.0

On Aug 13, 2014 Carsten Jorgensen wrote: Great reference to R recipes
Please pay special attention to chapter 12 with useful tricks, which really do contain a number of quite useable tips. Full Review >

Elasticsearch: The Definitive Guide

Elasticsearch: The Definitive Guide

A Distributed Real-Time Search and Analytics Engine

Carsten's rating: StarStarStarStarStar 4.0

On Jun 28, 2014 Carsten Jorgensen wrote: Searching big data in real-time
The Definitive Guide is definitely a recommendable resource for creating real time search solutions. Full Review >

MongoDB: The Definitive Guide

MongoDB: The Definitive Guide

Powerful and Scalable Data Storage

Carsten's rating: StarStarStarStarStar 4.0

On Mar 27, 2014 Carsten Jorgensen wrote: Great reference book covering all aspects of MongoDB for both developers and database administrators.
You can find a lot of useful resources about MongoDB on the official website but if you like me prefer to have a book to learn from then I will definitely recommend that you buy a copy of this book. Full Review >

Programming F# 3.0

Programming F# 3.0

A Comprehensive Guide for Writing Simple Code to Solve Complex Problems

Carsten's rating: StarStarStarStarStar 4.0

On Feb 28, 2014 Carsten Jorgensen wrote: Programming F# 3.0 is a thorough introduction to F#
Who uses F#? And it is worth learning? The first question is hard to answer but I believe that quite a number of financial institutions is using F #. The second answer is easy to answer. I believe that learning F# will be beneficial at least if you already is working on the Microsoft platform. Knowing several programming languages will improve your general programming skills. Full Review >

Python for Data Analysis

Python for Data Analysis

Data Wrangling with Pandas, NumPy, and IPython

Carsten's rating: StarStarStarStarStar 3.0

On Feb 17, 2014 Carsten Jorgensen wrote: Great introduction to IPython.
There are plenty of tools and programming languages focusing on data analysis and machine learning. I recently discovered that some programming languages and tools, e.g. F# and Julia, can be leveraged through IPython allowing one to work in a single environment instead of having to switch tools for different tasks. Full Review >

Agile Data Science

Agile Data Science

Building Data Analytics Applications with Hadoop

Carsten's rating: StarStarStarStarStar 4.0

On Feb 5, 2014 Carsten Jorgensen wrote: Chapter 3 alone is worth the price of the entire book.
The main value of this book is definitely chapter 3 where Jurney show us how to go from zero to a working data science application. The application is literally build from ground up starting with data collection over storing data to build a web front-end. Full Review >

Interactive Data Visualization for the Web

Interactive Data Visualization for the Web

An Introduction to Designing with D3

Carsten's rating: StarStarStarStarStar 4.0

On Jan 26, 2014 Carsten Jorgensen wrote: Interesting and thorough introduction to visualization with D3
I am a huge fan of the data journalism and visualization created by The New York Times. Some of their interactive visualizations are created with the open source JavaScript library D3 (Data-Driven Documents) created and maintained by NYT employee Mike Bostock. I have for a long time wanted to learn more about the techniques to create such visualization so I decided to spent a weekend reading Interactive Data Visualization for the Web. Full Review >

Mining the Social Web

Mining the Social Web

Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Carsten's rating: StarStarStarStarStar 5.0

On Jan 22, 2014 Carsten Jorgensen wrote: Read this book if you love working with data!
This book is the best computer book I have read in several years. Social networks and data mining is a hot topic and reading Mining the Social Web will not only provide you knowledge about data mining but also supply practical code examples. In addition the books is an easy read and quite funny! Full Review >

Doing Data Science

Doing Data Science

Straight Talk from the Frontline

Carsten's rating: StarStarStarStarStar 3.0

On Jan 9, 2014 Carsten Jorgensen wrote: More breadth than depth
What is data science? The book Doing Data Science not only explains what data science is but also provides a broad overview of methods and techniques that one must master in order to call one self a data scientist. Full Review >

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Featured Review

Fitness for Geeks

Juan Jose de Leon wrote:
Info and references so you could make your own decisions
This book won't give you a specific diet or exercise routine. Instead it will give… Full Review >

Rating: StarStarStarStarStar5.0