This paper discovers the advantages/disadvantages of different ML models dealing with a particular dataset.
FAMA70
Deemo(Yizhou) Chen's Observatory
Deemo(Yizhou) Chen's Observatory
This paper discovers the advantages/disadvantages of different ML models dealing with a particular dataset.
FAMA70
In 2005, John P. A. Ioannidis published a somewhat controversial titled “Why Most Published Research Findings Are False”, but the logic and reasonings are subtle and thoughtful. In the paper, John pointed out one of the problems with the current research methodologies is the heavy dependence on a “convenient, yet ill-founded strategy of claiming conclusive research findings...
Randomness Having real randomness on a deterministic machine is a pretty interesting topic, while one can easily achieve pseudo-randomness by creating a complex algorithm with unpredictable outputs(such as a chaotic system). However, for a microcontroller with the same code whenever it boots up, the above solution will give you the same number every time. So it would be nice to introduce some...
GAN(Generative Adversarial Network) is a Neural Network model in which there exist two neural networks, one commonly referred to be the Generator and the other as Discriminator. Adversarial Learning is a study of attacking neural networks, but it is being used as a tool to build the GAN model. In each iteration, the Generator will synthesize a product–commonly to be images in modern...
Deemo(Yizhou) Chen's Observatory
