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Showing posts with the label algorithm

The Machines are Learning

Imagine for a moment if you could see the billions upon billions of data points flowing throughout our world.  As our society has embraced more digital ways of being, we generate vast amounts of data.  Each one of us, as we engage with digital tools, lay down trails of data that say something about events, places, and who we are.  Within the mysterious realm of Artificial Intelligence (AI) lies the magic of Machine Learning of ML, a science of data and algorithms that act on it. Riders of buses in the Greater Vancouver area were frustrated that Google Maps, and other apps relying on Translink’s online data feed, predicted earlier arrival and departures by over 5-minutes the majority of the time. They were often standing in the rain or dark longer than they would like waiting for a bus that from their perspective was late.  By partnering with Microsoft, Translink was able to bring together numerous historical and real time data feeds including traffic and weather data...

The Rise of the Digital Silhouette

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How much do you think about the traces of you, that you leave behind as you engage more and more with technology?  There has been a not so subtle intrusion into what used to be our private lives where a lot of what we do and say is now recorded.  Notice how apps on our smartphones want access to our photos, contacts, and location.  Sure you can deny such access but then the value of the apps diminishes significantly, often to zero.  Do you remember which apps you have given the go ahead to track your movements, your buying habits, your interactions with others, etc.?  We use our digital tools in very trusting ways not really thinking about what the companies behind them might do with all that data about us.  Google makes something like 97% ($32M) of their revenue from advertising – actually from us.  Our use of their tools generates tremendously valuable data about human behavior including purchasing habits.  They really should be paying us for o...

Algorithms Are Us

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My first introduction to algorithms dates back to grade 11.  There was one computer, an APL machine , in the entire school district and it happened to be in my math classroom.  As budding mathematicians, we learned to write algorithms and program them into the APL machine.  I remember writing a black jack card game and that might have been the turning point for me to shift away from becoming a mechanic to go into computer science.  Actually I often credit that particular teacher (thank-you Jim Swift ) with changing my destiny as it was he that pointed me into the new direction.  Folks, math and algorithms, “ a set of rules that precisely defines a sequence of operations ”, are underlying everything in our world.  I will relate this to education later in this post so hang in there… Remember back in the early days of Internet search when there was no predictive hints provided?  You had to know how to find things online (Internet quests anyone) and tha...