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PREDICTIVE MODELLING TECHNIQUES AND APPLICATIONS

ABSTRACT Predictive modelling has developed rapidly in the last decade and is now used in every industry, with predictive modelling algorithms governing almost every area of life from consumer industry to healthcare and transportation. From more basic techniques, predictive modelling has evolved into more complex structures such as neural networks, increasingly using artificial intelligence ...

ijsser.org·569.6 KB
[PDF] Neural Architecture Search - AutoML

In order to deal with variable-length network architectures, they use a bi- directional LSTM to encode architectures into a fixed-length representation. Based.

www.automl.org·402.3 KB
Deep Learning - Stanford University

We now begin our study of deep learning. In this set of notes, we give an overview of neural networks, discuss vectorization and discuss training neural.

cs229.stanford.edu·377.6 KB
Reinforcement Learning in a Nutshell

We provide a concise introduction to basic approaches to reinforcement learning from the machine learning perspective. The focus is on value function and ...

christian-igel.github.io·170.4 KB

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