Come join us at the third event of our new online series ML in the Wild.

Throughout ML in the Wild series, we will talk about real world experiences in solving problems with ML. The series will cover every stage of an ML project from coming up with the idea to serving the ML solution for use by end users. The series will span five events, and each one will cover a highly crucial real world case in ML solution development. So become a member of TensorFlow Turkey community today to get updates for future events just into your inbox!

In the first event of the ML in the Wild Series, Burcu Ertürk and M. Yusuf Sarıgöz talked about finding an accessible source to numerical, textual, image and audio data, obtaining the data, exploring, cleaning and preparing the data for further use, approaching the problem in both corporate and startup contexts.  

In the second event of the series, M. Yusuf Sarıgöz continued where we left off, talking about ML development processes such as forming data subsets, building baseline models, setting up experiments, hyperparameter tuning, scheduling and distributing the training task, model performance evaluation and reporting.  

Towards the end: Deployment and production

In the third event of the series, we will have Bilgin Aksoy as a guest to talk about real-world problems in deployment of ML models and best practices in the production stage with virtualization, containerization, model optimization and scalability in the focus. The online event will be held interactively to answer your questions as well.

Mark your calendars for ML in the Wild Series - 3: Deployment and Production on May 16th, 21:00-22:30. The event will be online, and you need to RSVP to the event in order to see the link to be updated 30 minutes before the start time.

Speakers

Bilgin Aksoy, Senior Data Scientist at Arin Labs

M. Yusuf Sarıgöz, AI Engineer at AI Labs, GDE on ML