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8th Annual Toronto Machine Learning Summit (TMLS) 2024

4.40/5Total Reviews
7
4.40/5Total Reviews
7

8th Annual Toronto Machine Learning Summit (TMLS) 2024

About 8th Annual Toronto Machine Learning Summit (TMLS) 2024

When and Where

Event date

Jul 12 - 14, 2024

Organized by

Toronto Machine Learning Society (TMLS)

Event type

Event fees

Event location

Canada

Event Snapshot

Event Overall Score: 4.4

Likelihood to Recommend
4.57
Networking
4.14
Content Quality
4.33
Learning Value
5
Value for Money
4.33

This event has been highly rated for

Learning & Innovation

Recent Reviews

Calvin Chan

Data Analyst

4.56 / 5

"The event was great, I learned a lot from meeting fellow data scientists and engineers in the field. "

I liked how, we were able to participate in person and online as well, on certain days I was unable to come in person but that really helped me stay in the loop.

Zhehui Zhong

Analytics Solutions Owner

4.39 / 5

"Quick Review of TMLS 2024 from a Data Scientist turned Analytics Solutions Owner"

The Data Science, ML and AI (particularly LLMs and Gen AI) learnings from the various workshops and sessions.

Prashanth Rao

AI Engineer

4.07 / 5

"Great talks and workshops"

I liked the variety of topics covered in the workshops, and there were a lot of really interesting folks in the event, both from a speaker and an attendee perspective.

Audio Reviews (1)

0.000.00

Jun 2023

David Tello

Machine Learning Engineer 

at No Art AI

A really pleasure to be an assistant of this event. very interesting topics and a good day working also. Thanks.

Reviews

Average Rating by Group

Total Reviews
7

MelaniIn Person | attendee

ML Technical Writer, DigitalOcean

4.58/5

Review Source

Review Source

Overall, it was a wonderful experience.
What did you like best about the event?
Seeing colleagues that I regularly see at ML events is always a pleasure. Additionally, made some new friends that I plan to see again.
What could the organizers do to improve the event?
Better seating during lunch time is strongly suggested. This would allow for a more optimal environment for discussion. Not a hard requirement, but it would be amazing if breakfast could involve eggs, potatoes, and assorted meats as opposed to just pastries.
Did you have a favourite speaker or session? Please tell us below
The Differential Privacy Talk and one given by the Spotify Engineering Manager.
Overall experience
5.00/5
Value for money
5.00/5
Networking opportunities
4.00/5
Usefulness of participating vendors/sponsors
4.00/5
Session(s)
4.00/5
Amount of new information learned
5.00/5
Overall In Person Experience
Event destination
5.00/5
Event venue
5.00/5
Food and beverages at event
2.00/5
Helpfulness of event staff
5.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Kiarash ShamsiIn Person | speaker

MLResearcher , wealthsimple

4.02/5

Review Source

Review Source

Overall it was good
What did you like best about the event?
Selection of talks and great speakers was a big star this year, Looking forward to see more great talks next year.
What could the organizers do to improve the event?
Sessions can be organized by their relevance of topics, this year there was no direct line of talk for each day, it would be great if you split the talks to some buckets and then have a main line of talks for each let's day half a day, like this afternoon the main topic will be LLMs or GenAi. That would help attendee to focus more on their interests
Overall experience
4.00/5
Networking opportunities
4.00/5
Technical support for setting up the session
4.00/5
Interactivity with the audience
3.00/5
Quality of the audience
4.00/5
Overall In Person Experience
Event destination
4.00/5
Event venue
5.00/5
Food and beverages at event
4.00/5
Helpfulness of event staff
4.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Marija StanojevicIn Person | speaker

Lead ML Scientist, EaudAImonia Science

4.85/5

Review Source

Review Source

Exceeded my expectations.
What did you like best about the event?
Most of the AI/ML events disappoint me and don't reach the expectations, but this one was amazing. I didn't plan to attend almost any sessions, but the first session made me go to the second and so on and I attended the whole event. There is a good crowed focused on implementing AI/ML and going in real depth on that tech.
What could the organizers do to improve the event?
Have different breakfast, not pastries. Reduce amount of vegan food and have more options.
Overall experience
5.00/5
Networking opportunities
4.00/5
Technical support for setting up the session
5.00/5
Interactivity with the audience
5.00/5
Quality of the audience
5.00/5
Overall In Person Experience
Event destination
5.00/5
Event venue
5.00/5
Food and beverages at event
4.00/5
Helpfulness of event staff
5.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Winston LiIn Person | speaker

CEO, Arima

4.38/5

Review Source

Review Source

Engaged audience and well organized event.
What did you like best about the event?
Venue was great and organized well. The number of attendees is also good with a good mix of practitioners, leaders and people new to the space.
What could the organizers do to improve the event?
It would be better if the event didn't cross the weekend. It felt a little bit disjointed when the 1st day is on a Friday and the second day is on a Monday.
Overall experience
5.00/5
Networking opportunities
3.00/5
Technical support for setting up the session
5.00/5
Interactivity with the audience
5.00/5
Quality of the audience
4.00/5
Overall In Person Experience
Event destination
5.00/5
Event venue
5.00/5
Food and beverages at event
4.00/5
Helpfulness of event staff
5.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Prashanth RaoIn Person | speaker

AI Engineer, Kuzu Inc.

4.07/5

Review Source

Review Source

Great talks and workshops
What did you like best about the event?
I liked the variety of topics covered in the workshops, and there were a lot of really interesting folks in the event, both from a speaker and an attendee perspective.
What could the organizers do to improve the event?
The workshop sessions could have been held in the same venue, and on the same day as the main event. I feel like the locations were so far apart and on a different day, that attendees who attended the workshops couldn't attend the talks, and vice versa. In 2023, the workshops were held right next to the main stage, so a lot of folks who attended the talks were able to also attend the workshops and the group was a lot more close-knit.
Overall experience
5.00/5
Networking opportunities
5.00/5
Technical support for setting up the session
4.00/5
Interactivity with the audience
3.00/5
Quality of the audience
4.00/5
Overall In Person Experience
Event destination
3.00/5
Event venue
3.00/5
Food and beverages at event
2.00/5
Helpfulness of event staff
4.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Zhehui ZhongIn Person | attendee

Analytics Solutions Owner, Acosta Sales & Marketing

4.39/5

Review Source

Review Source

Quick Review of TMLS 2024 from a Data Scientist turned Analytics Solutions Owner
What did you like best about the event?
The Data Science, ML and AI (particularly LLMs and Gen AI) learnings from the various workshops and sessions.
What could the organizers do to improve the event?
I would have like to see catered hot lunches provided instead of cold sandwiches.
Did you have a favourite speaker or session? Please tell us below
My favourite session was the session on using neural networks to improve the efficacy of Within-basket Recommendations (by Loblaw Digital)
Overall experience
4.00/5
Value for money
4.00/5
Networking opportunities
4.00/5
Usefulness of participating vendors/sponsors
3.00/5
Session(s)
5.00/5
Amount of new information learned
5.00/5
Overall In Person Experience
Event destination
5.00/5
Event venue
4.00/5
Food and beverages at event
2.00/5
Helpfulness of event staff
5.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

Calvin ChanIn Person | attendee

Data Analyst, BrainStation

4.56/5

Review Source

Review Source

The event was great, I learned a lot from meeting fellow data scientists and engineers in the field.
What did you like best about the event?
I liked how, we were able to participate in person and online as well, on certain days I was unable to come in person but that really helped me stay in the loop.
What could the organizers do to improve the event?
The website regarding the event could be more straight forward, it was a little hard to navigate the website layout for the event.
Did you have a favourite speaker or session? Please tell us below
Overall experience
5.00/5
Value for money
4.00/5
Networking opportunities
5.00/5
Usefulness of participating vendors/sponsors
5.00/5
Session(s)
4.00/5
Amount of new information learned
5.00/5
Overall In Person Experience
Event destination
5.00/5
Event venue
5.00/5
Food and beverages at event
5.00/5
Helpfulness of event staff
5.00/5

Likely to Recommend

0
1
2
3
4
5
Very Likely

Eventible is a neutral platform, unaffiliated with organizers or partners. Reviews reflect attendees' personal opinions.

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