Archive for March, 2020


Machine Learning Research Tutorials

March 8, 2020

Machine learning has become one of the hottest areas in computer science and technology. Both industry and academia have gone gaga. Big tech companies send 100’s each to the top research conferences and the conference numbers are increasing in size so they are now beyond capacity. But, how do you learn about machine learning in the first place? Assuming you have a strong STEM undergraduate degree and are research savvy, this page points to some appropriate resources for research. These are intended for starting PhD students.

If you are more interested in learning the basics as a potential user, then you will need to find different resources such as the blogs up on or at the MOOCS such as Coursera.

University Classes

Places like Stanford and CMU have very good advanced masters-level classes ideal for starting PhD students. Slides and oftentimes lectures are online for the public. e.g., deep networks for NLP

See also Lex Fridman’s seminars up at . Very good overview of capabilities and directions for a general overview.

Good Venues

Excellent tutorials are available recently at the major conferences, oftentimes with vidoes and/or slides on the website, although sometimes you have to hunt through the author’s webpages. The top conferences include AI&Stats, IJCAI, ICML, ACL … be warned, some tutorials are a bit specialised or advanced.

Machine Learning Summer School (MLSS)

This series is managed by venerable machine learning researchers and only has a few per year internationally. Their list of venues is at . You have to go to each and navigate disparate and sometimes wacky layouts to locate slides and/or videos.


The Freiburg-Hannover group has a great sequence of tutorials on AutoML and learning to learn:

An initiative of the Jozef Stefan Institute, Ljubljana, records many great tutorials, but coverage not as good recently. Go seaching for your favorite subjects:



Resources for Research Students

March 1, 2020
Monash FIT Postgrad Workshop

On 12th February, Reza Haffari and I organised a workshop to support research students in their journey. It seems our Monash faculty each has their own special superpower, and their quality and relevance blew me away:

  • Maria Garcia De La Banda was a careers expert
  • Christoph Bergmier was an efficiency expert
  • Reza Haffari pondered the big philosophical questions
  • Dinh Phung thought about being the best researcher you could be

Anyway, they presented lots of good material which is on the Monash hard drives. But here I’ve summarised the main resources we all mentioned.

Famous Tutorials/Papers/Books for Research Students

Living productively

(resources from Profs Dinh Phung and Reza Haffari at Monash FIT)


  • Strunk & White’s “Elements of Style”, a short book summarising good writing, with 5 editions since 1920, considered one of the 100 best English language books ever written, often bought with “On Writing Well”
  • William Zinsser’s “On Writing Well”, a classic guide to writing non-fiction, often bought with Strunk & White
  • Jacque Barzun’s “Simple & Direct”, a writer’s guide,

Research writing (including for nonnative speakers of English)

(resources from Julie Holden at Monash FIT)

  • Cargill, Margaret, and Patrick O’Connor. Writing scientific research articles: Strategy and steps. John Wiley & Sons, 2013.   ( an updated version is being currently written)
  • Glasman-Deal, H. (2010). Science research writing for non-native speakers of English. London: Imperial College Press. Hargrave-Andrew Library 808.0665 G548S2010 and Monash University Library ebook)
  • Swales, J., and Feak, C. (2012). Academic writing for graduate students: A course for nonnative speakers of English ( 3rd ed.).  Ann Arbor: the University of Michigan Press. (Hargrave-Andrew Library 808.042 S971A 2004)
  • Swales, J., and Feak, C. (2000). English in today’s research world: A writing guide. Ann Arbor: The University of Michigan Press. (Matheson Library 808.042 S971E 2000)
  • Weissberg, R., and Buker, S. (1990). Writing up research: Experimental research report writing for students of English. Englewood Cliffs, NJ: Prentice Hall Regents. (Hargrave-Andrew Library 808.0666 W432W)
  • Graff, G., and Birkenstein, C. (2017). “They say / I say”: The moves that matter in academic writing. New York: Norton & Company. (Caulfield and Matheson Libraries 808.042 G736T 2017).  The full text of the 2010 edition is also available to download at

Resources on quality conferences/journals

Understanding reviewers

The journal editorial process 

(didn’t have “known” resources here, so went Googling … these seemed reasonable)