If someone made me commissioner of education for a day, I would make everyone study statistics. Especially journalists, whose job it is to explain to the general population what risk factors mean and ...

O'Neil's book is a primer on the ethical risks of Big Data and an algorithmically dependent world. It describes algorithms behaving badly, and advocates for society to do better You can save this ...

Cathy O’Neil believes there is a dark side to numbers. A mathematician by training, she earned her doctorate at Harvard and went on to become a tenure-track professor at Barnard College. In 2007, ...

The trajectory of books about new technologies follows a similar pattern: first, hype; then, backlash; then, finally, a more considered view of what it might actually be good for. The first hype books ...

I’ve been waiting for good book that introduces the concepts of data science and machine learning for a lay audience. There’s so much being reported on these subjects nowadays that I’m sure many ...

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network - ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for you.