Sunday, August 12, 2018

DS and ML study - my collection

Working with Data Science and Machine Learning requires continuous education. Usually when I start on reading new paper or just google for some question I stumble apon a good course or a book or a resource, which I read fast to grasp the concept and bookmark to come back later.
*sometimes I even DO come back later :)
Today I just happen to organise my bookmarks, and than decided to share resources I prefer for online education - most of them offer free education, at least in audit mode.
NB! Order is arbitrary, and shows no preferences

edX https://courses.edx.org
Very popular with a lot of content. Mostly free, and one can buy certificate upon course completion.

Cousera https://www.coursera.org/
Another very popular. Unfortunately, some courses do not give access to practical excersizes unless paid.

LinkedIn https://www.linkedin.com/learning
Some interesting content there. Still kind of new, so I am trying in out now.

Microsoft Virtual Academyhttps://mva.microsoft.com/
A lot of free content regarding Microsoft technologies. The quality is also excellent.

Microsoft AI Schoolhttps://aischool.microsoft.com/
Somewhat similar to previous but with applied filter to AI stuff.

Pluralsights https://app.pluralsight.com/library/
The really good ones are not free. But maybe your work could pay for access?

Udacity https://classroom.udacity.com/
Another famous resource. Lectures are interactive and playfull.

DataCamp https://www.datacamp.com/community/open-courses/
I find cources here very simple and interactive. Sometimes it is useful to repeat basics.

Yandex Data Schoolhttps://yandexdataschool.ru/edu-process/courses (this one is on russian)
This one gives good insights witht more mathematics and underlying theory compared to other ML courses. If you speak russian - absolutely reccomended and truly enjoyable. Russians love math, don't we? :)

Youtube https://www.youtube.com/
Lot's of recordings of lectures and courses from most famous teachers and universities. No homework, but excellent for boosting theoretical understanding.

Monday, June 11, 2018

NDC Oslo

This year is the 3rd time I have an honor to speak at NDC Conference. NDC Oslo is my favourite one, - great content, cool venue and fantastic mood :)

Speaking about Machine Learning on several occasions I have often recieved comments that there is a lot of theoretical knowledge all around about the concept but nothing really about real life expirience.
So,
For this year we (me and @KatyaGeek) have decided to talk about how running Machine Learning project is different from running a typical Software project.

https://ndcoslo.com/talk/not-a-magic-what-to-expect-from-machine-learning-projects/

Come along!