What participants say after completing the programme.
Reviews and learning accounts from people who completed the Foundations programme, the Neural Networks Workshop, or the ongoing Reading Group.
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Participant reviews
From recent cohorts and workshop participants. Ratings range from four to five stars; not every learner found every aspect straightforward.
Zainal Ariffin
Petaling Jaya, MY · ML-101
The notebook format made a genuine difference to how I understood regularisation. Being able to change the alpha value and watch the coefficient plot update — while reading the explanation of why it was changing — is a different kind of learning than watching someone else run code.
April 2025
Priya Yogarajah
Kuala Lumpur, MY · NN-WS1
I had taken an introductory course elsewhere but never really understood the backward pass. The workshop covered the chain rule in a way that connected to the actual PyTorch code, not just the whiteboard diagram. I left knowing what was happening, not just being able to call it.
April 2025
Chong Kai Wen
Shah Alam, MY · ML-101
Weeks 1 to 7 were well-paced. Weeks 8 to 10 on evaluation moved quickly and I would have appreciated more time on the cross-validation section specifically. That said, the office hours were useful for filling in the gaps — the instructor answered my specific follow-up question fully rather than pointing me to documentation.
March 2025
Nurul Izzah Hamid
George Town, MY · RG-MON
I had been meaning to read the Attention paper properly for about a year. Having a session scheduled on a specific evening with a facilitator who explains the notation as we go finally made it happen. It is a modest commitment per month and I get more out of it than solo reading.
April 2025
Rajan Nair
Johor Bahru, MY · ML-101
The prerequisite check before enrolment was something I appreciated in hindsight. I was borderline on my Python comfort level and was asked to do a brief self-assessment. That conversation helped me understand what I actually needed to brush up on before starting — which meant I was not struggling with basic syntax during weeks 1 and 2.
February 2025
Siti Norzahra
Subang Jaya, MY · NN-WS1
Good depth on the mathematics — I now understand what autograd is doing rather than treating it as a black box. The workshop is intensive for two days. I would suggest coming with the pre-reading done and your environment set up; the time goes quickly if you are troubleshooting installation during Day 1.
March 2025
Learning journeys in detail
Three accounts from learners who described their experience at length. Names used with permission.
challenge
Could write Python competently but had no systematic understanding of how to approach an unfamiliar dataset or how to choose between model types.
solution
Completed the twelve-week Foundations programme, engaging with notebooks each week and attending office hours for weeks 4 and 8 specifically where questions arose.
outcome
By week 12, was able to take a new tabular dataset independently, prepare it, fit several models, evaluate them with appropriate metrics, and write a clear summary of findings.
"The applied project in the final two weeks was the point where it clicked that I now had a repeatable process, not just a set of techniques I had been shown."
challenge
Comfortable with classical ML but had repeatedly been confused by neural network code because the underlying mechanics — particularly backpropagation — remained unclear.
solution
Attended the Neural Networks Weekend Workshop, working through the shared notebook with a small group and spending time during breaks on questions about gradient computation.
outcome
Could read PyTorch training loops and explain what each component was doing. The mathematics of backpropagation connected to the code in a way it had not from reading alone.
"Two days is enough to build a working conceptual foundation if the instruction stays focused. This workshop does that — it does not try to cover too much."
challenge
Self-taught ML practitioner who found the academic literature difficult to engage with alone — notation unfamiliar and no obvious way to ask questions when stuck on a proof or a claim.
solution
Joined the Notebook Reading Group and has attended regularly for five months. The facilitated format and conversational pace make reading sessions productive rather than solitary and frustrating.
outcome
Has read through seven papers and notebooks over five months, retaining enough to discuss each with colleagues. The habit of regular reading alongside others has been more durable than solo attempts.
"The investment per month is modest. The value is more about consistency than any single session — it creates an occasion to keep reading that I did not have before."
Questions before enquiring?
Reach us directly if you have a question about prerequisites or programme fit before sending a formal enquiry.
office
Level 8, Wisma Mont Kiara,1 Jalan Kiara, 50480 KL
Programme statistics
Figures from the studio's operations since founding.
4.7
Average participant rating
80+
Learners enrolled to date
4
Foundations cohorts completed
MYT
All sessions on Malaysia time
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