Monday, April 23, 2018

What's new in Machine learning ?


Recommendation Systems or Rec-Sys- How does it work?

Why do the we care about the Recommendation Systems, the answer to this question may be different based on different perspective. For example, for...

Machine learning explained

Evolution of centroids position in kmeans

Machine Learning Explained: Kmeans

Kmeans is one of the most popular and simple algorithm to discover underlying structures in your data. The goal of kmeansĀ is simple, split your...

Machine Learning Explained: Dimensionality Reduction

Dealing with a lot of dimensions can be painful for machine learning algorithms. High dimensionality will increase the computational complexity, increase the risk of...

Machine Learning Explained: supervised learning, unsupervised learning, and reinforcement learning

Machine learning is often splitĀ between three main types of learning: supervised learning, unsupervised learning, and reinforcement learning. Knowing the differences between these three types...