If we want to understand a specific aspect of the behavior, such as what happens when the car hits the edge at various angles, we can make a simplified environment that focuses on just that.
You know who knows that the money is easy better than anyone? Is this exactly true, or an approximation? That is, we draw the trajectory that represents all time, but we also draw the car at some particular time.
As we climb higher on the ladder of abstraction, it will become harder to imagine the concrete steps beneath, and more critical that our abstractions provide a way to interactively step down to a more concrete representation.
Mouse over Drag the lower slider to bend the road. Use the real thing. But many systems aren't closed, and respond continuously to an environment such as our car example, or a thermostat or a stream of input data such as a speech recognizer.
It's possible to infer it from the trajectory, if we know what we're looking for. We're stepping up to the second rung of the ladder, looking for a representation that abstracts over both time and turning rate.
The structure is the set of rules that the system obeys. We choose one small specific idea for improving the algorithm. One approach is to randomly generate various roads, and see how the algorithm performs on them. Imagine looking for parking in a busy city, winding up and down the streets, hoping you'll chance upon an empty spot.
I include the Online For Profit Mills that live off of the government delivering student loans as part of traditional education. Does it behave like we expect? But in the concrete representation it jumps out at us, because it violates our common sense. Play with these parameters for a bit, and see what you notice.
Here, we have called out the bend angle as an explicit parameter of the data.
We're pretty far up in the clouds now — this representation bears no resemblance to the motion of a car, and omits most lower-level details. Abstracting the Algorithm In previous sections, we first controlled time. This representation essentially "unbends" each road into a straight line, squishing it so all roads line up precisely.
Do they lead to great systems?
Help your audience form mental models of processes, objects, etc. Its the collegiate equivalent of flipping houses. In both cases, it appears like the trajectories follow the law of reflection — they bounce off at the angle that they come in.
That money was then spent on homes with the expectation that the price of the home would go up and it could easily be flipped or refinanced at a profit. The Ladder of Abstraction To understand a system, we must explore it.
There may be valuable information here, but this representation on its own is too abstract to make sense of. In order to discover these causal relationships, we need to climb down a step on the ladder, and compare individual concrete instances.
What we are doing here is feeding the pattern-recognizer in our brains, and building up an intuition for how the system behaves.
You would think traditional university educators would take notice.
Even for systems that are normally expressed with multiple independent variables, such as heat diffusion or wave propagation, we typically think of the system as evolving over time. Garbage in, garbage out: By the time they realize they need to change their business model it will be too late.
Mouse over Drag the slider, and notice how much easier it is to see patterns.
It's like running a command line terminal in a window, to emulate a VT on your Mac.Traction control helps you accelerate without spinning out on slippery surfaces like snow and ice.
Electronic stability control senses when you may be losing control around a corner or curve, and can stabilize your car if it begins to veer off the road. thoughts on “ The Coming Meltdown in College Education & Why The Economy Won’t Get Better Any Time Soon ” Pingback: Noted NBA Owner Blasts College Loans | The College Bubble Well done article.
There are so many aspects I’d like to respond to 1. The Student Loan take over by government (nationalization) was a bailout of sorts. About the book. For most software developers, coding is the fun part. The hard bits are dealing with clients, peers, and managers, staying productive, achieving financial security, keeping yourself in shape, and finding true love.
View and Download Ford Explorer owner's manual online. Ford Motor Company Ford Explorer Owner's Guide. Explorer Automobile pdf manual download. Also for: Explorer xlt The ladder of abstraction is a concept used to describe and define the development of thought and language from concrete to abstract.
This lesson provides a definition of the ladder of abstraction. View and Download Ford Taurus owner's manual online. Taurus Automobile pdf manual download.Download