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Natural Computation Methods for Machine Learning Note 01

2020年2月4日 5983点热度 0人点赞 0条评论

Introduction

Contents hide
1 Introduction
2 Literature
3 Overview of this course

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.

标签: machine learning Natural Computation
最后更新:2020年3月4日

Dong Wang

I am a PhD student of TU Graz in Austria. My research interests include Embedded/Edge AI, efficient machine learning, model sparsity, deep learning, computer vision, and IoT. I would like to understand the foundational problems in deep learning.

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文章目录
  • Introduction
  • Literature
  • Overview of this course

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