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Machine learning is a branch of Artificial Intelligence concerned with the development of algorithms that adapt their behavior based on past observations. Examples of such algorithms include Artificial Neural Networks, Genetic Algorithms, Expectation-Maximization, and Support Vector Machines. Such algorithms are used for classifying previously unseen data and predicting future values of some unknown process.

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Predicting the impact point of a moving object

Unless you are talking about something higher-order (like learning the behavior of an autonomous agent and predicting how it will move in the future), what you are looking for is to create a simple ph …
Ian's user avatar
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6 votes

What reward function results in optimal learning?

"Optimal learning" is a very vague term, and it is completely dependent on the specific problem you're working on. The term you're looking for is "overfitting": (The green line is the error in pred …
Ian's user avatar
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24 votes

Is it possible to run a neural network on a microcontroller

It's certainly possible to implement this on an Arduino. Here are 3 such Arduino libraries that implement neural networks: Neuroduino Arduino Basics ArduinoANN The complexity of the network that …
Ian's user avatar
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4 votes

How much accuracy could I get position tracking with a 3-axis accelerometer and gyro sensor,...

The mechanics of your vehicle are not extremely relevant here; I will assume that the motion your vehicle induces on the sensors will be within their specifications. Entire volumes have been written …
Ian's user avatar
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4 votes

Self learning maze solving robot using 8bit microcontroller?

My understanding of your problem is that you would like to discover and navigate a 2D maze of irregular obstacles with a non-holonomic robot using a single forward-looking ultrasonic range sensor and …
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