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ML Algorithm for Business

[Paris, France - jpryes]


- Overview

Machine learning is a field of research aimed at teaching machines to perform cognitive activity, similar to the human mind. While they are typically much more limited in cognitive ability than the average human, they are able to process vast amounts of information quickly and derive useful business insights.  

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.  

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.  

But, using the classic algorithms of machine learning, text is considered as a sequence of keywords; instead, an approach based on semantic analysis mimics the human ability to understand the meaning of a text. 


- Supervised Learning


  • Classification: Support Vector Machines, Discriminant Analysis, Naive Bayes, Nearest Neighbor.
  • Regression: Linear Regression GLM, SVR/GPR, Ensemble Methods, Decision Trees, Neural Networks


- Unsupervised Learning

  • Clustering: K-mean/K-methods,Fuzzy C-Means, Hierarchical, Gaussian Mixture, Neural Networks, Hidden Markov Model


[More to come ...]

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