ip:ws2021:lets_plaiy:student-documentation:further-reading:start
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| ip:ws2021:lets_plaiy:student-documentation:further-reading:start [2022/01/13 18:21] – pranay001 | ip:ws2021:lets_plaiy:student-documentation:further-reading:start [2022/01/13 18:26] (current) – pranay001 | ||
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| + | ===== LET US GUESS ====== | ||
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| Adults enjoy using a lot of sophisticated phrases to express themselves. This might be due to their desire to demonstrate their outstanding vocabulary. It's much worse in technical disciplines with a lot of huge technical terms, such as Computer Science. These technical terms are intended to assist distinguish between related concepts. However, it frequently confuses basic concepts. I'll try not to use any of these difficult terms in this essay. This is so that you can comprehend the concepts rather than memorizing large words. Let's begin with some background information. | Adults enjoy using a lot of sophisticated phrases to express themselves. This might be due to their desire to demonstrate their outstanding vocabulary. It's much worse in technical disciplines with a lot of huge technical terms, such as Computer Science. These technical terms are intended to assist distinguish between related concepts. However, it frequently confuses basic concepts. I'll try not to use any of these difficult terms in this essay. This is so that you can comprehend the concepts rather than memorizing large words. Let's begin with some background information. | ||
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| ===“Guessing you say, that's it? “Yes and No.==== | ===“Guessing you say, that's it? “Yes and No.==== | ||
| - | All the machine is doing is guessing based on previous experiences with similar queries. (Prediction is a fancy way of meaning guessing.) It's not like you're guessing at random. It tries to learn to make the best prediction possible based on some interesting arithmetic (which we won't go into right now). To summarize, Machine Learning is all about figuring out how to make the best estimate possible. The closest approach to the correct answer is the best potential guess.\\ \\ | + | All the machine is doing is guessing based on previous experiences with similar queries. (Prediction is a fancy way of meaning guessing.) It's not like you're guessing at random. It tries to learn to make the best prediction possible based on some interesting arithmetic (which we won't go into right now). To summarize, Machine Learning is all about figuring out how to make the best estimate possible. The closest approach to the correct answer is the best potential guess. |
| - | “So how does it guess correctly? | + | ===“So how does it guess correctly? |
| At first, the machine makes some extremely bad estimates (starting with random guesses). The program then compares its own guess to the right answer given in the example. We instruct the computer to make fewer predictions and make them more accurate. It then travels on a merry-go-round in an attempt to cut down on errors. It self-corrects as it strives to lessen its errors, bringing it closer to the correct guess. | At first, the machine makes some extremely bad estimates (starting with random guesses). The program then compares its own guess to the right answer given in the example. We instruct the computer to make fewer predictions and make them more accurate. It then travels on a merry-go-round in an attempt to cut down on errors. It self-corrects as it strives to lessen its errors, bringing it closer to the correct guess. | ||
| Experts refer to the process through which the computer corrects its own errors as gradient descent. There' | Experts refer to the process through which the computer corrects its own errors as gradient descent. There' | ||
ip/ws2021/lets_plaiy/student-documentation/further-reading/start.1642094502.txt.gz · Last modified: 2022/01/13 18:21 by pranay001