(Announcement dated 12/Jun/2020):
Hi all,
thank you for participating at our live teams video-meeting on Fri June 12, 2020, 3:30-5:30pm, with topic: Questions-Answers on Nokia ML video Lec 1-2-3.
The recording of the video is available on microsoft stream at:
https://web.microsoftstream.com/video/15f3549b-324f-437f-8774-62ca630f7133

The next and final Q&A PhD meeting will be on Fri June 26 at 15:30 (will discuss the last Nokia lectures 4,5).

(Announcement dated 29/May/2020):
Hi all,
thank you for participating at our live teams video-meeting on Fri May 29, 2020, 3:30-5:00pm, with topic: Questions-Answers on master ML video Lec 12.
The recording of the video is available on microsoft stream at:
https://web.microsoftstream.com/video/487889dc-ff4a-45b6-bfdb-966be489d111

This is the end of the ML master course. For PhD students we will have 2 more Q\&A meetings on the Nokia lectures (The Nokia video lectures and the pdf slides are available in e-form in this folder. Please ask your teacher the user and passwd): the first will be on Fri june 12 at 15:30 (we will go over videos 1,2,3 i.e. intro, genie-based estimation up to issues with bias and variance) the second meeting will be on Fri june 26 at 15:30 (will discuss the last video lectures 4,5)
Nota Bene: the audio quality of the Nokia videos is poor (it was taped with a go-pro at a large distance from the speaker). However it can be equalized by your video player. For instance, I use VLC -> Adjustment and Effects -> Audio Effects -> Equalizer , and then I tick "enable" and "2-pass" and set the desired power level in the various frequency bands so that the distortions of the original audio are suppressed (please refer to the picture vlc_equalizer_levels.png). Then the audio quality becomes more than acceptable.

(Announcement dated 02/Mar/2020):
Dear "Machine Learning for pattern recognition" prospective PhD students,
we should have started our course last week, Feb 24-29 2020. My classes are every Monday at 1030.
Due to the Coronavirus emergency, as you know, we will not have classes even this week.
However the rectorate urged all professors to provide didactic material including short videos to students, so that with supervised self-study they could make up for the missed classes.
Fortunately, our policy in the Communication Engineering Master course is to have slides and videos of all classes made available routinely to our students, as you see here:
http://communication-eng.unipr.it/index.php/academic-year-2019-20/
So we are perfectly ready to face this challenge in teaching.
I therefore urge all of you who wish to take this ML course to access the teaching material on:
http://www.tlc.unipr.it/bononi/didattica/ML/ML.html
and
1) read carefully the LMCE course organization (a required part of this PhD course) at
http://www.tlc.unipr.it/bononi/didattica/ML/information.html
2) watch the videos of the first 2 classes:
files ML_lec1.1.MP4 through ML_lec2.5.MP4
to access the videos:
http://www.tlc.unipr.it/bononi/didattica/video/videoclasses_Machine_Learning/2018-2019/
(user and pwd will be mailed to unipr students upon request)
and to access the slides used in the videos:
http://www.tlc.unipr.it/bononi/didattica/ML/class_notes/
I will be available for clarifications and answer all your doubts by email (alberto.bononi@unipr.it) or by skpe video connection (alberto_bononi)
I wish you all a successful start of ML classes in this new, self-study form.
Best regards,
Alberto Bononi