Difference: MachineLearning (1 vs. 6)

Revision 6
07 Oct 2019 - Main.PerryMoerland
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META TOPICPARENT name="EducationBioLab"
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Note that the course material is still going to change before the start of the course week.
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Note that the course material is still going to change before and during wink the course week.
 

Monday (October 7) - Introduction
Lecturer Marcel Reinders
Revision 5
19 Sep 2019 - Main.PerryMoerland
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META TOPICPARENT name="EducationBioLab"
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Monday (October 7) - Introduction
Lecturer Marcel Reinders
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Subjects Introduction to pattern recognition: measurements, features, classification. Supervised vs. unsupervised learning, relation to regression. Bayesian framework: risk, cost; evaluation: ROCs, cross-validation. Density estimation: histograms, nearest neighbour, Parzen, Gaussian Bayesian classification.
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Subjects Introduction to machine learning: measurements, features, classification. Supervised vs. unsupervised learning, relation to regression. Bayesian framework: risk, cost; evaluation: ROCs, cross-validation. Density estimation: histograms, nearest neighbour, Parzen, Gaussian Bayesian classification.
 

Tuesday (October 8) - Classifiers
Lecturer Perry Moerland
Revision 4
12 Sep 2019 - Main.PerryMoerland
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META TOPICPARENT name="EducationBioLab"
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Registration

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You can register for this course by filling out the BioSB enrolment form. The maximum number of participants is 25, so register soon to be sure of a course seat! Update: we reached the maximum number of participants for the 2019 edition. Registration is closed. If you would like to be put on reserve list, please send an email to: education@biosb.nl. If you are interested in a next edition of the course (next year) please fill out the pre-registration form.
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You can register for this course by filling out the BioSB enrolment form. The maximum number of participants is 25, so register soon to be sure of a course seat! Update: we reached the maximum number of participants for the 2019 edition. Registration is closed. If you would like to be put on the reserve list, please send an email to: education@biosb.nl. If you are interested in the 2020 edition of the course please fill out the pre-registration form.
 

The course fee includes:
Revision 3
12 Sep 2019 - Main.PerryMoerland
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META TOPICPARENT name="EducationBioLab"
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Course material

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The course material is available here and includes the handouts of the slides, a lab course manual and the required data and Matlab toolboxes.
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All course material is available here and includes the handouts of the slides, a lab course manual and the required data and Matlab toolboxes.
 

For the moment you are already advised to have a look at the following documents:
  • To prepare for the course: a self-evaluation test (PDF, 90 Kb) on the prerequisite prior knowledge (probability theory and linear algebra). If you have a lot of trouble answering some of these exercises, consult the text books mentioned in the PDF, or a few primers (ZIP/PDF, 4.9 Mb) on these topics.
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  • 12.00 - 13.00 Lunch
  • 13.00 - 17.00 Computer lab (L01-243/245 (Mo), L0-211 (Tu), L0-230 (We), L0-227 (Th), L0-227/L0-229 (Fr))
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L01-211 (basement) and L0-211 (ground floor) are located in the main building of the Academic Medical Center (map), Meibergdreef 9, Amsterdam. Travel directions to the AMC can be found here.
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All rooms are located in the main building of the Academic Medical Center (map), Meibergdreef 9, Amsterdam, except the lecture room on Monday and Thursday (HvA B2.10) which is located in the building of the University of Applied Sciences Amsterdam (HvA, Hogeschool van Amsterdam). Travel directions to the AMC can be found here.

Note that the course material is still going to change before the start of the course week.
 

Monday (October 7) - Introduction
Lecturer Marcel Reinders
Revision 2
11 Sep 2019 - Main.PerryMoerland
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META TOPICPARENT name="EducationBioLab"
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  A yearly course, part of the BioSB Research School

Lecturers
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  • dr. ir. Perry Moerland (Amsterdam UMC, location Academic Medical Center)
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  • dr. ir. Perry Moerland (Amsterdam UMC, location: Academic Medical Center)
 
  • prof. dr. ir. Marcel Reinders (Delft University of Technology)
  • prof. dr. Lodewyk Wessels (Netherlands Cancer Institute)
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Registration

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You can register for this course by filling out the BioSB enrolment form. The maximum number of participants is 25, so register soon to be sure of a course seat!
>
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You can register for this course by filling out the BioSB enrolment form. The maximum number of participants is 25, so register soon to be sure of a course seat! Update: we reached the maximum number of participants for the 2019 edition. Registration is closed. If you would like to be put on reserve list, please send an email to: education@biosb.nl. If you are interested in a next edition of the course (next year) please fill out the pre-registration form.
 
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The course fee (to be determined) includes:
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The course fee includes:
 

  • Course material: Lecture slides, a lab course manual and software required for the lab course (MATLAB toolboxes) will be made available online.
  • Catering: Coffee, tea, soft drinks and lunch will be provided.
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Information about ho(s)tel accommodation in Amsterdam can be found here. Participants have to book (and pay for) the accommodation themselves if they need it. This is not included in the course fee.
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Information about hostel accommodation in Amsterdam can be found here. Accommodation is not included in the course fee.
 

Course material

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The course material is available here and includes the handouts of the slides, a lab course manual and the required data and Matlab toolboxes.
>
>
The course material is available here and includes the handouts of the slides, a lab course manual and the required data and Matlab toolboxes.
 

For the moment you are already advised to have a look at the following documents:
  • To prepare for the course: a self-evaluation test (PDF, 90 Kb) on the prerequisite prior knowledge (probability theory and linear algebra). If you have a lot of trouble answering some of these exercises, consult the text books mentioned in the PDF, or a few primers (ZIP/PDF, 4.9 Mb) on these topics.
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Examination

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Participants requiring a certificate of successful completion should make a final assignment. The student will analyse a biological dataset (preferably one from his/her own practice) using the tools provided in the course, and write a small report (5-10 pages) on the results. If the student has no dataset available, one will be provided. The report will have to be mailed to p.d.moerland@amc.uva.nl no later than three weeks after the course has finished (October 20, 2017). We will strictly adhere to this deadline; if you require extension, you should contact us well in advance. The proposal will be graded "fail" or "pass", with one possible resubmission. Those who choose not to make the final assignment will receive a certificate of participation.
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Participants requiring a certificate of successful completion should make a final assignment. The student will analyse a biological dataset (preferably one from his/her own practice) using the tools provided in the course, and write a small report (5-10 pages) on the results. If the student has no dataset available, one will be provided. The report will have to be mailed to p.d.moerland@amsterdamumc.nl no later than three weeks after the course has finished (November 1, 2019). We will strictly adhere to this deadline; if you require extension, you should contact us well in advance. The proposal will be graded "fail" or "pass", with one possible resubmission. Those who choose not to make the final assignment will receive a certificate of participation.
 

Schedule (2019 edition)

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The course will run October 7-11 2019. Preparation material on statistics and linear algebra will be distributed before the course, to be studied by students missing the required background. After the course, 2-3 days will have to be spent on the report to be handed in. Each course day will have the following layout:
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The course will run October 7-11 2019. Preparation material on statistics and linear algebra will be distributed before the course, to be studied by students missing the required background. After the course, 2-3 days will have to be spent on the report to be handed in. Each course day will have the following schedule:
 
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  • 9.00 - 12.00 Lecture (HvA, B2-10 (Mo,Th, Fr), K01-222 (Tu, We, Fr))
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  • 9.00 - 12.00 Lecture (HvA B2.10 (Mo,Th), K01-222 (Tu, We, Fr))
 
  • 12.00 - 13.00 Lunch
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  • 13.00 - 17.00 Computer lab (L01-243/245 (Mo,Th, Fr), L0-211 (Tu), L0-230 (We), L0-227 (Th), L0-227/L0-229 (Fr))
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  • 13.00 - 17.00 Computer lab (L01-243/245 (Mo), L0-211 (Tu), L0-230 (We), L0-227 (Th), L0-227/L0-229 (Fr))
 
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L01-211 (basement) and L0-211 (ground floor) are located in the main building of the Academic Medical Center (map), Meibergdreef 9, Amsterdam. Travel directions can be found here.
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L01-211 (basement) and L0-211 (ground floor) are located in the main building of the Academic Medical Center (map), Meibergdreef 9, Amsterdam. Travel directions to the AMC can be found here.
 

Monday (October 7) - Introduction
Lecturer Marcel Reinders
 
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