Python project, Keras.
This article will show how to get better results if we have few data:
1- Increasing the dataset artificially,
2- Transfer Learning: training a neural network which has been already trained for a similar task.
3- Unsupervised pre-training (if we have enough data but few have a label)
Continue reading “Transfer Learning & Unsupervised pre-training”
JAVA project.
Thanks to some famous AI algorithms, we will maximize the delivery profit of a Switzerland company.
Continue reading “Maximizing delivery profit thanks to AI”
Matlab project.
KNN is a learning algorithm which can be used for classification. The output is classified by a majority vote of its neighbors.
Continue reading “K Nearest Neighbour (KNN) from scratch”
Matlab project.
K-means algorithm classes n observations into k clusters in which each observation belongs to the nearest cluster.
Continue reading “K-means clustering algorithm from scratch”
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