Preface

I always had a thing for the less traveled roads and it reflects itself in this book, Angular Services, as well. When it is about showing the power of front-end frameworks, there are tons of tutorials and contents on how to build To-Do list applications, or time trackers, or any other use cases and path ways which has been explored, explained and exhausted excessively.

What I've aimed for in this book is slightly different. Yes, the subject still Angular Services and we learn about all Angular framework features along the way, but the vehicle is a Machine Learning flavored application called 'The Sherlock Project' which explores:

• Reactive eXtension (rx.js) and observable objects
• The importance of a good Model
• The HTTP requests and how Angular Http module or third party libraries handle it
• The 3 way data-binding offered by the modern noSQL database: Firebase Realtime Database
• Data visualization provided by VizJS

What makes this book different is the use of Regression algorithm to explore major news agency outlets and other online resources, in order to get some insight about a news item. Basically we are using Angular Services as a host to several tools and concepts, so they work together and deliver four main tasks:

• collect data
• analyse and organize keywords
• generate reports for items we are interested in
• and finally evaluate the accuracy of the generated reports

Perhaps that is the main reason that unlike other books, we didn't invest much efforts on how pretty our application looks, rather we focused on what it does and how unique it is. The code is open source and you are most welcome to take it to the next level by adding missing bits and pieces and decorating it with all the pretty bells and whistles that a front-end application deserves.