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Title
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How To Search ELI5: A Quick Reminder About Rule 7
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ELI5: Why do cars travel in packs on the highway, even when there are no traffic stops to create groups?
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ELI5: Why are our fingertips, ear holes and nostrils all approximately the same size?
7
ELI5: Why do body parts (fingers, eyes, etc) twitch randomly?
11
ELI5 Retarded Time
4
ELI5: Umbral Moonshine
4
ELI5: Why do jet skis shoot a stream of water straight up when they go forward?
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ELI5: Why are some sounds, like nails on a chalkboard, so universally hated by humans?
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ELI5: How does ethylene make fruits and vegetables ripen faster?
3
ELI5: Why are solar gardens good investments for wealthy people?
3
ELI5: Why does a copied URL dirrct me yo a different page?
2
ELI5: Why is it not blinding to look directly at the sun early in a sun rise or late into a sun set?
2
ELI5 why is the polar star always north?
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ELI5: How many ants does it take to make a functioning ant colony?
17
ELI5: SD. SS. SA. Gestapo. Wehrmacht. Sipo. Kripo. What were they all and how do they relate to each other?
4
ELI5: If I use the same amount of coffee grounds but more water, does my caffeine content change?
2
ELI5: Why do animals appear to care so much for their young, but not so much when the 'children' get older?
3
ELI5; What is the difference between a break and a fracture?
6
ELI5: Air movement in a house
2
ELI5: Why does the wind typically pick up during the middle of the day and die down in the evenings?
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ELI5: Why does NASCAR race on oval tracks, rather than the more complicated layouts of other motorsports?
4
ELI5: How can sperm cells "swim" through something as thick as seminal fluid? You wouldn't be able to swim through honey for example.
4
ELI5: Why can't there be an "universe's point of reference" in relativism?
2
ELI5: Why do our eyes lose focus after staring at something for a while?
5
ELI5: Why/how can most species of animals hold their breath underwater for far longer than humans can?
1
ELI5: Risk Parity strategies in investing - how they work and what are the advantages/disadvantages?
1
ELI5: How is a bank started?
2
ELI5:Why is eating healthy 80% of being healthy?
1
ELI5: How is it possible to perceive a game servers tick rate going from 30 to 60 when your ping is not that fast?
5
ELI5: Objectively, what are the limitations of carbon dating?
1
ELI5: Security as a Service
0
ELI5: How do space shuttles launch off the modified 747s?
1
ELI5: What the hell is Umbral Moonshine?
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ELI5: Why are cones and pyramids exactly 1/3 of a cylinder or prism's volume?
1
ELI5: How much does food affect building strength?
6
ELI5: What causes exhausts to have that rasp-y sound people tend to associate with tuners? (civics, integras, etc)
2
ELI5: Why is it stated sharks will suffocate if they quit swimming, but I see examples like the white-tipped reef shark who spend the day laying on the bottom?
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ELI5: Why are steroids more popular in baseball than football or basketball?
0
ELI5: Why does the body make women throw up or get nauseous when pregnant?
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ELI5: When and why did 8 hours of sleep become the standard for a solid night’s rest?
2
ELI5:How some stars become pulsars?
5 kouhoutek That's a hard question because you really comparing apples and oranges. The mini-max algorithm is useful in very specific situations. You need to have a well-defined state space (game board and pieces), well-defined state transitions (game rules), adversarial gameplay (players have opposing goals), low branching factor (few good moves in a given position) alternating turns, and a good static evaluation function (who has the most pieces). When these conditions exist, mini-max and its various heuristics (which includes alpha-beta pruning) is an efficient way to conduct a brute force search through the move tree. A neural network is an artificial intelligence technique that in some ways mimics the human brain. The network learns by being exposed to a large body of input and being "rewarded" or "punished" if its response is right or wrong. It is a very general technique applicable to a wide variety of problems but usually does not give as good results as a special purpose solution. The two are so different, comparing them is like asking what is a better food, grain or beef Wellington? Grain feeds the world, but you are unlikely to order it in a fancy restaurant.
2 Bofo42 To add to /u/kouhoutek's answer: they are very different tools that are implemented with very different structures - alpha-beta pruning uses a search tree, while a NN uses affine transformations composed with non-affine transformations --- its really a big composition of functions. These affine transformations are stored in multi-dimensional arrays and are often called (incorrectly) 'tensors'. How this plays out in how they function: alpha-beta pruning itteratively eliminates less than optimal subtrees. NN's often have massive numbers of parameters (100k's to millions), each of which gets "tuned" or adjusted itteratively.
5 0 kouhoutek That's a hard question because you really comparing apples and oranges. The mini-max algorithm is useful in very specific situations. You need to have a well-defined state space (game board and pieces), well-defined state transitions (game rules), adversarial gameplay (players have opposing goals), low branching factor (few good moves in a given position) alternating turns, and a good static evaluation function (who has the most pieces). When these conditions exist, mini-max and its various heuristics (which includes alpha-beta pruning) is an efficient way to conduct a brute force search through the move tree. A neural network is an artificial intelligence technique that in some ways mimics the human brain. The network learns by being exposed to a large body of input and being "rewarded" or "punished" if its response is right or wrong. It is a very general technique applicable to a wide variety of problems but usually does not give as good results as a special purpose solution. The two are so different, comparing them is like asking what is a better food, grain or beef Wellington? Grain feeds the world, but you are unlikely to order it in a fancy restaurant.
2 0 Bofo42 To add to /u/kouhoutek's answer: they are very different tools that are implemented with very different structures - alpha-beta pruning uses a search tree, while a NN uses affine transformations composed with non-affine transformations --- its really a big composition of functions. These affine transformations are stored in multi-dimensional arrays and are often called (incorrectly) 'tensors'. How this plays out in how they function: alpha-beta pruning itteratively eliminates less than optimal subtrees. NN's often have massive numbers of parameters (100k's to millions), each of which gets "tuned" or adjusted itteratively.