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It is very obvious that all students need to be informed about AI, robotics and Bitcoin to be informed voters.

The Liberal Party won a majority (more than 50%) of seats in the House of Commons in the 2025 federal election.

Charter activity from a course module:   a. Jennifer Adams, a law abiding Canadian citizen, decides to go on a trip to China. When she arrives at the airport, she is told that she is not allowed to leave Canada. No reason is given by the authorities.Charter Section(s):Violation/ No violation:  Did the authorities violate the Charter in this case?

The Myth of Free Trade a.  How did the repeal of the Corn laws in 19th century Britain exemplify  a victory for “free trade”?   b.  Chang says there is a glaring hole in the creation myth of free trade.  What does he mean by that?  Why is this simplistic idea of specialization based on comparative advantage problematic?   c.   Since 1995, international trade has been regulated by the World Trade Organization (WTO).  Is this a good thing for all countries?  Explain with evidence from Chang’s chapter on Beef.  Guidance:  You will want to use and define terms such as WTO, free trade, comparative and absolute advantage, tariffs, exports, imports in your answer.  You will want to answer each part in, at minimum 2 paragraphs

Consider the minimax search scenario where it is agent A’s turn and the current state can be expanded in to states 1 and 2 where it is agent B’s turn. Each of those states can be expanded to 1.1, 1.2, 2.1, and 2.2, where it is again A’s turn. Now consider that each of those states can be expanded twice to the following eight states with corresponding evaluation scores from A’s evaluation function:1.1.1: 101.1.2: 51.2.1: 81.2.2: 72.1.1: 42.1.2: 52.2.1: 22.2.2: 9What score would A’s evaluation function assign state 1.1? Note that it would again be agent A’s turn in this state and would have been agent B’s turn in state 1 (leading to state 1.1).

In a directed graph, an arc is an ordered pair of two .

What is the probability of rolling two fair dice and at least one comes up with the value 6?

Ockham’s razor specifies that we should prefer simpler models over more complex models.

If a machine learning model were predicting coronavirus infections and correctly diagnosed 50 patients with coronavirus, incorrectly diagnosed 22 patients with coronavirus who were healthy, correctly declined to diagnose 500 healthy patients with coronavirus, and missed diagnosing 200 patients with coronavirus when those patients were indeed ill with the disease, what is the number of false-positives by this model in this testing scenario?

Consider the following dataset including characteristics of houses and whether or not an agent was able to sell the house:   house color size      sold red large     yes red large     no gray small no gray large     yes gray small yes brown small no brown large     yes   If we were developing a naive bayes model to predict house sales, what is the probability a house would be red given that it was sold?