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Google’s self-driving car causes crash

March 2, 2016 By editor

Google self-driving car

The New Scientist reports that one of Google’s autonomous cars drove into a bus on 14 February 2016.

Apparently Google’s cars have been involved in 18 accidents in Mountain View since it started testing in 2010. All have been other vehicles striking a stationary or slow moving Google car. However, in the latest incident the AI decided to pull out into the path of the slow-moving bus—i.e. the AI was at fault.

What interested me was the explanation given by Google

Our car had detected the approaching bus, but predicted that it would yield to us because we were ahead of it

As the driver is software, it’s possible to to examine the logs and know exactly how and why the accident occurred. Obviously, things are rarely as clear-cut when human drivers are involved in accidents. This makes it a lot easier to determine where the problem lies and, more importantly, to reduce the chances of it happening again. A single incident produces a bunch of useful data.

The ability to audit the behavior of autonomous cars is going to be one of their big selling points.

Filed Under: Data analysis, Data science, Machine learning

Football match data repository

March 2, 2016 By editor

football on ground

Football-Data maintains comprehensive CSV files of football matches dating back the the early 90s.

Leagues currently covered are

  • Belgian
  • Dutch
  • English
  • French
  • German
  • Greek
  • Italian
  • Portuguese
  • Scottish
  • Spanish
  • Turkish

The data is well-formatted and free—so a great resource if you want to try out some data science techniques with simple, real-world, data.

Filed Under: Data analysis, Data science

Conducting sentiment analysis using R

February 18, 2016 By editor

Learning Tree just published my article on conducting sentiment analysis using R and a web service.

Filed Under: Data science Tagged With: R, sentiment analysis

Dimensionality reduction using R

February 10, 2016 By editor

Learning Tree published my article on using Principal Component Analysis to reduce the dimensionality of data.

Filed Under: Data science Tagged With: dimensionality reduction, PCA, R

Divorce petitioners adapting to legal aid changes?

February 7, 2016 By editor

divorce

Campaigners are claiming that a rise in the allegations of domestic abuse is due to recent changes in legal aid rules. Under new legislation tax payer funding is only available for divorce cases involving verbal or physical abuse.

MPs expressed concerns about creating perverse incentives when the legislation was first suggested, back in 2011.

Policy-making requires systems thinking if it’s not to end up making bad situations worse.

Filed Under: Behavioral economics, Decision science Tagged With: law of unintended consequences, systems thinking

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