Machine learning: intermediate

Course Dates: 23/02/21 - 26/03/21
Time: 18:30 - 20:00
Location: Online
Tutors:



This course is FREE if a) You are on a Low Wage or b) You are either on Jobseekers' Allowance (JSA) or Employment & Support Allowance(ESA) or c) You receive other state benefits (including Universal Credit). For more information click here

This course will be delivered online. See the ‘What is the course about?’ section in course details for more information.

Description

What is the course about?



This is a live online course. You will need:
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

Reviews
Tutor Biographies
Liv Helen Vage

Liv is a physicist with background in machine learning. She completed her masters degree at University College London, with a thesis in theoretical astrophysics, and is currently working on a PhD in particle physics at Imperial College. She first started exploring machine learning at the Wolfram Summer School in Boston, and has since done internships with BT in the UK and DESY in Germany. Her PhD centrers around using novel methods for high performance computing and machine learning for the upgrade of the compact muon solenoid experiment at CERN in Switzerland.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.

Book your place

Course Code: CMART10

Tue+Fri, eve, 23 Feb - 26 Mar '21

Duration: 10 sessions (over 5 weeks)

Full fee: £279.00
Senior fee: £279.00
Concession: £140.00

Or call to enrol: 020 7831 7831

Any questions? computing@citylit.ac.uk
or call 020 7492 2515

Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Center for more information on a range of topics including fees, online learning and FAQs.