Making It Happen: Fred Goodwin, RBS and the men who blew up the British economy (2013)
Non-Fiction
Author(s): Iain Martin
The rise and fall of the Royal Bank of Scotland. The book revolves around Fred Goodwin and his rise through the corporate world until he made it to the the top of RBS and how it all went wrong during the financial crisis of 2008.
McMafia (2008)
Non-Fiction
Author(s): Misha Glenny
The economics of the globalized crime world. The book covers a lot of underground crime culture (it gets a bit crude sometimes), the numbers behind this activities and how they are everywhere around the world.
Rise of the Robots (2015)
Non-Fiction
Author(s): Martin Ford
How Artificial Intelligence is shaping the labor market and how could it be disruptive in the future. The book features a lot of advancements in AI/Robotics, the jobs they can do right now and the jobs they will be able to do in the future.
Mining the Social Web (2011)
Academic / Programming
Author(s): Matthew A Russell
How to mine data from many well known websites: Twitter, Facebook, Linkedin, Google+ and Github. Most of the recipes are written in python, the reader will find many of them very useful.
Python Machine Learning (2015)
Academic / Programming
Author(s): Sebastian Raschka
Great book about the implementation of many machine learning techniques with python. From the most basic recipes like perceptrons to neural networks, the book explains very well each of the tools used with examples and graphs.
Alexander Hamilton (2004)
Non-Fiction
Author(s): Ron Chernow
One of the best books I've read. Considering that it starts in 1755 and ends in the beginning of the 1800s, the amount of details are huge. The book does not only cover the life of Hamilton but also all the important historic sucesses around his life like the American Revolutionary War, The Ratification of the Constitution and the birth of the U.S. government as we know it.
Mastering Pandas for Finance (2015)
Academic / Programming
Author(s): Michael Heydt
The books starts with how to handle data with python and then explorers many financial strategies for investing like using google trends, automated trading, option pricing and portfolio modeling.
