The End Of Alchemy

The End Of Alchemy (2016)

Non-Fiction

Author(s): Mervyn King

Great book by the ex-governor of the Bank of England. He talks about the causes of the financial crisis, bank regulation, economic policy, central banking, the european union and the future of banks.

The Master Algorithm

The Master Algorithm (2015)

Non-Fiction

Author(s): Pedro Domingos

The author splits machine learning in 5 different areas and explores their tools, history, and how to combine them to create the master algorithm: Artificial Intelligence.

The Prize

The Prize (1990)

Non-Fiction

Author(s): Daniel Yergin

The oil bible, there is no better description. The book features the whole history of oil and how it affects the world since the 1850's to 1990. Rockefeller, the two world wars, the Opec, the oil embargoes, there is nothing left outside of this gem, a must for anyone willing to work in the energy industry and also understand past middle east conflicts.

Building Machine Learning Systems with Python

Building Machine Learning Systems with Python, 2nd edition (2016)

Academic / Programming

Author(s): Luis Pedro Coelho & Willi Richert

Miscellaneous techniques for machine learning with python including music classification, sentiment analysis, computer vision, etc... 

Superintelligence

Superintelligence: Paths, Dangers, Strategies (2014)

Non-Fiction

Author(s): Nick Bostrom

The book explores the ways to achieve artificial intelligence, how it would affect the human race for good or bad and what should we do about it.

Large Scale Machine Learning with Python

Large Scale Machine Learning with Python (2016)

Academic / Programming

Author(s):  Bastiaan Sjardin & Luca Massaron

Great book about analyzing big databases and machine learning when working on a single not-too-prowerful computer. The book covers the implementation of many online machine learning algorithms like SVM, Random Forests and Neural Networks. It Also features some examples using Hadoop & Spark.

Data and Democracy

Data and Democracy (2016)

Academic / Data Science

Author(s):  Andrew Therriault

Short book about the use of data during elections. The effects of telephone and internet polls, databases, advertising, donations, and many other important factors that can be measured and analyzed using data science.