Repository to hold code, instructions, demos and pointers to presentation assets for Data Science Career Journey event. In this 3-day event, we are going to address hot topics in Data Science, learn Data Science Pipeline and different tools and frameworks, and host a Data Science Career Panel Discussion with IBM Data Science Experts.
To enable developers who want to use it at their own pace, pre-recorded sessions are uploaded. For those who prefer live interactions, we will be running the sessions and workshops live.
- To attend the sessions live or watch the replay, register on Crowdcast here.
- To be able to complete the hands-on labs, you will need to create an IBM Cloud account here.
There are no prerequisites when it comes to skills and knowledge. Join us here to learn and network!
| Topic | Presenter | Links |
|---|---|---|
| Welcome! | Masa, Sidra | Recording |
| Teaching computers to read - A short history of Natural Language Processing | Ed Shee, Developer Advocate | Slides Recording Resources |
| Beyond accuracy: Fairness and Explainability in machine learning | Margriet Groenendijk, Developer Advocate | Steps Recording |
| Lab Office Hours on Slack |
| Topic | Presenter | Links |
|---|---|---|
| Welcome! | Masa, Sidra | Recording |
| Decision Making with Data Part 1 | Siddharth Bisht, Data Scientist | Resources Recording |
| Office Hours on Slack |
| Topic | Presenter | Links |
|---|---|---|
| Welcome! | Masa, Sidra | Recording |
| Introduction to ML Ops | Muhammed Abdullah, Data Scientist | Slides Recording |
| Decision Making with Data Part 2 | Siddharth Bisht, Data Scientist | Notebook Recording |
| Auto ML | Samaya Madhavan, Advisory Software Engineer | Slides Recording |
| Panel Discussion - Data Science Career | Sabine Holl, Abeer Haroon, Anchal Bhalla, Gabriela de Queiroz, Jatin Gupta | Recording |
| Office Hours |