Behaviours

Proficient With Data Management

Proficient in collecting, organising, and analysing data to facilitate AI development and deployment.

Behaviours

Proficient With Data Management

Can you describe a project where you had to collect and organise a significant amount of data for AI development?

Behaviours CARD

Proficient With Data Management

Proficient in collecting, organising, and analysing data to facilitate AI development and deployment.
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BEHAVIOURS CARD

The card itself

Pages 193 and 194 of the Better Deck.

Front

Behaviours

Proficient With Data Management

Proficient in collecting, organising, and analysing data to facilitate AI development and deployment.

Behaviours

Proficient With Data Management

Can you describe a project where you had to collect and organise a significant amount of data for AI development?

Back

Behaviours

Proficient With Data Management

Proficient in collecting, organising, and analysing data to facilitate AI development and deployment.

Behaviours

Proficient With Data Management

Can you describe a project where you had to collect and organise a significant amount of data for AI development?

FRONT OF CARD

Front text

Extracted from page 193.

1.  Showcase proficiency with data management by demonstrating experience in collecting, organising, and analysing data for AI projects.
2.  Effectively ensure data quality and integrity throughout the data management process.
3. Understand and apply data structures, database systems, and data preprocessing techniques, emphasising their importance in maintaining reliable and accurate data for AI applications.
4. Highlight their ability to utilise data management tools and software effectively to optimise data handling and support AI development and deployment.

P R O F I C I E N T W I T H D A T A M A N A G E M E N T IMPACT

Better The Deck

CRAFT (MIMTSK) CHARACTER (WIRE) CAPACITY (ME) DRIVE (TV) =

BACK OF CARD

Back text

Extracted from page 194.

1. Can you describe a project where you had to collect and organise a significant amount of data for AI development? What were the challenges, and how did you address them?
2. How do you ensure the quality and integrity of data when working on AI projects? Could you provide an example?
3. Which database systems are you most familiar with, and how have they supported your data processing tasks in AI development?
4. Discuss a time when you applied a specific data pre-processing technique to enhance the quality of data for an AI model. What was the outcome?
5. How do you handle missing or inconsistent data in your datasets, especially when preparing them for AI applications?

COMPETENCIES FOR WORKING WITH ARTIFICIAL INTELLIGENCE – MACHINE LEARNING P R O F I C I E N T W I T H D A T A M A N A G E M E N T

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