How to Build Successful Career in AI/ML

In this roundtable, we will hear different opinions on what would be the best way to build a career in data science. From taking part in Kaggle competitions to Hackathons, there are many paths that can take you to success.

Shana Matthews

Shana Matthews

Senior Program Manager, Microsoft

Locksley Kolakowski

Locksley Kolakowski

Data Science Intern, Zeitworks

Syed Farhan Ahmad

Syed Farhan Ahmad

Microsoft Gold Student Ambassador | Quantum & AI Research Intern, IBM

Ayon Roy

Ayon Roy

Data Science Intern at Lulu International Exchange

Annanya Vedala

Annanya Vedala

Gold Microsoft Learn Student Ambassador

Other sessions from: Global AI Student Conference

Learning AI/ML: Is University the best place to do it?

Learning AI/ML: Is University the best place to do it?

With many teaching resources available online, including reputable Machine...

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Talk and Demo on Sound Identification and Classification with Tensorflow and Librosa

Talk and Demo on Sound Identification and Classification with Tensorflow and Librosa

I aspire to conduct an interactive and implementation based workshop on the...

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Teaching your Models to play fair

Teaching your Models to play fair

It is very important to ensure fairness while building an AI system which...

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Build a quiz generator from your notes

Build a quiz generator from your notes

A demonstration on how to create a quiz generator which takes the pictures...

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The current state and future of AI

The current state and future of AI

In this roundtable, we get together with AI researchers and evangelists to...

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Sergey Markov Sergey Markov
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PySpark : Combining Machine Learning & Big Data

PySpark : Combining Machine Learning & Big Data

With the ever increasing flow of data, comes the industry focus on how to...

Ayon Roy Ayon Roy