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Lecture 1, Introduction

Tid: Tisdag 1 september 2015 kl 10:00 - 12:00 2015-09-01T10:00:00 2015-09-01T12:00:00

Kungliga Tekniska högskolan
HT 2015

Plats: F1

Aktivitet: Föreläsning

Lärare: Giampiero Salvi () , Atsuto Maki () , Örjan Ekeberg ()

Studentgrupper: TCSCM_CSCA_2, TCSCM_CSCD_2, TCSCM_CSCE_2, TCSCM_CSCG_2, TEBSM_INMV_1, TEBSM_INSR_1, TITMM_2, TIVNM_DITS_2, TIVNM_HCID_1, TKOMK_3, TMAIM_1, TSCRM_1, TSCRM_2, TTMAM_1

Info:

Structure of the Course

  • What will the course cover?
  • How are labs and examination handled?

Learning Machines

  • What do we mean by a "Learning Machine"?
  • Supervised vs Unsupervised learning?   
  • What can learning algorithms be used for?
  • How can a simple learning program be constructed?
  • What is a Nearest neighbour classifier?

Slides for Lecture 1

Slides for Lecture 1 (Part II)

Schemahandläggare skapade händelsen 24 augusti 2015
Lärare Atsuto Maki redigerade 28 augusti 2015

FöreläsningLecture 1, Introduction

Structure of the Course¶


* What will the course cover?
* How are labs and examination handled?
Learning Machines¶


* What do we mean by a "Learning Machine"?
* Supervised vs Unsupervised learning?   
* What can learning algorithms be used for?
* How can a simple learning program be constructed?
* What is a Nearest neighbour classifier?

Schemahandläggare redigerade 31 augusti 2015

[{'user_name': u'Giampiero Salvi', 'user_id': u'u12rf6rn'}, {'user_name': u'Atsuto Maki', 'user_id': u'u1elx760'}, {'user_name': u'\xd6rjan Ekeberg', 'user_id': u'u1oppomp'}]

Lärare Atsuto Maki redigerade 31 augusti 2015

Structure of the Course


* What will the course cover?
* How are labs and examination handled?
Learning Machines


* What do we mean by a "Learning Machine"?
* Supervised vs Unsupervised learning?   
* What can learning algorithms be used for?
* How can a simple learning program be constructed?
* What is a Nearest neighbour classifier?
Slides for Lecture 1¶

Lärare Atsuto Maki redigerade 1 september 2015

Structure of the Course


* What will the course cover?
* How are labs and examination handled?
Learning Machines


* What do we mean by a "Learning Machine"?
* Supervised vs Unsupervised learning?   
* What can learning algorithms be used for?
* How can a simple learning program be constructed?
* What is a Nearest neighbour classifier?
Slides for Lecture 1

Slides for Lecture 1 (Part II)¶

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Senast ändrad 2015-09-01 12:31

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