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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

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How is training data generated

I think I can make it a bit more clear and collect previous answers into one. You can think of four types of data: Type 1: Inherently labeled data Example of this would be something like dataset for …
Joonatan Samuel's user avatar
0 votes

Difference between AlphaGo's policy network and value network

From what I understand the difference is in the outputs. Where policy network outputs a probability distribution over the possible moves, the value network returns a real value that can be interpreted …
Joonatan Samuel's user avatar
11 votes
1 answer
4k views

HOW TO: Deep Neural Network weight initialization

Given difficult learning task (e.g high dimensionality, inherent data complexity) Deep Neural Networks become hard to train. To ease many of the problems one might: Normalize && handpick quality da …
Joonatan Samuel's user avatar