Between Christmas and New Year we will conduct the public opinion poll to determine the best decision model among our Challenges published in 2017. Here they are:
Please analyze solutions of these 6 challenges and be ready to vote for up to 6 challenges/solutions you like the most. On January 1, 2018 we will announce 3 winners who receive the most votes.
Bitcoin price quickly passed $5,000, $11,000, and $17,000 (today) milestones. This 25 mins video explains how Bitcoin actually works.
The New Yorker’s article “The Serial-Killer Detector” describes how an algorithm is discovering new links between unsolved murders. By a process of data aggregating, the algorithm gathers killings that are related by method, place, and time, and by the victim’s sex. It also considers whether the rate of unsolved murders in a city is notable, since an uncaught serial killer upends a police department’s percentages. Read more
Santa always leaves plans for his elves to determine the order in which the reindeer will pull his sleigh. This year, for the European leg of his journey, his elves are working to a schedule, which will form a single line of nine reindeer. There are 15 reindeer ordering rules. Our Challenge Dec-2017 asks you to help elves to determine the order of the reindeer.
Quora published an interesting answer to the question “Is software development really a dead-end job after age 35-40?“: “NO, software development is most certainly not a dead end job! It is a great job. Does it get tougher to get your next job as you get older? Oh hell yes. But, so what! If you love it as I do nothing but death or poor health can stop you. All it takes is a determination.” Read more
Dr. Bob Moore submitted an interesting solution to our Nov-2017 Challenge “Soldier Payment Rules“. His solution doesn’t use DMN or any BRMS tool and reaffirms the power of the classic SQL. Along with a complete solution Bob shows how to validate the problem data and discusses how his solution can support potential changes in the problem definition.
There are two types of recommender systems, Content based and Collaborative filtering. Both have their pros and cons depending upon the context in which you want to use them. This article describes how to build a content-based recommender system.