Natural Computation Methods for Machine Learning Note 01

2020年2月4日 3070点热度 0人点赞 0条评论

Introduction

I am going to record my course notes for a basic machine learning course, Natural Computation Methods for Machine Learning ( 1DL073 ).  There are some course notes and personal understanding. I will not show full slides and provide the e-book of  literature. However I would possibly have misunderstanding and errors. You are welcomed to tell me. 😁

Literature

The literature is Andries P. Engelbrecht, Computational Intelligence: An Introduction, 2nd edition, Wiley, 2007.

Overview of this course

This course is different from Machine Learning and Statistical Machine Learning. The 'natural computation method' is inspired from nature for developing novel methods. In this course, we will learn these parts,

  • Neural basics and supervised learning
  • Extensions and variants
  • Reinforcement learning
  • Unsupervised learning
  • Evolutionary methods
  • Swarm intelligence

There are various machine learning methods, and we will focus on natural computation methods in general and artificial neural networks in particular.

Dong Wang

Master student of computer science at Uppsala University in Sweden. My primary research interests are deep learning, computer vision, federated learning and internet-of-things.

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