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DSXL4AIML
DSXL4AIML

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Oct 15, 2020

How to do pytest/unittest in Google Colab (Colaboratory) Notebook for data scientists

Author: Tara Su A notebook is convenient for data scientists as a quick prototyping tool. When it comes to writing repeatable code beyond a POC (Proof of Concept) attempt, a notebook is rarely the first choice of an AI/ML developer. Well constructed python-files (.py scripts) and carefully written test cases…

Data Science

1 min read

Data Science

1 min read


Sep 30, 2020

Design Thinking for Data Scientists — Prototype Evaluation Planning

Author(s): Tara Su Abstract. In this report, I planned out three evaluations for my redesign of the mail app of the iPhone. I planned qualitative evaluation (post-event protocol) for my Wizard of Oz prototype of my voice interface, the empirical evaluation for my paper prototype of my incremental improvement of…

Humancomputer Interaction

9 min read

Design Thinking for Data Scientists — Prototype Evaluation Planning
Design Thinking for Data Scientists — Prototype Evaluation Planning
Humancomputer Interaction

9 min read


Sep 27, 2020

Design Thinking for Data Scientists — Brainstorming, Solution Design, and Prototyping

Author(s): Tara Su Abstract. This report documents the brainstorming results of the proposed improvement of the iPhone app “mailboxes”. After the brainstorming, 3 ideas on the change of current interface, virtual reality (VR) solution, and voice command were selected. Paper prototype, textual prototype, and wizard of oz prototype were used…

Humancomputer Interaction

8 min read

Design Thinking for Data Scientists — Brainstorming, Solution Design, and Prototyping
Design Thinking for Data Scientists — Brainstorming, Solution Design, and Prototyping
Humancomputer Interaction

8 min read


Sep 27, 2020

Design Thinking for Data Scientists — Need-finding Planning

Author(s): Tara Su Abstract. I would like to redesign the “all inboxes” interface of the mailboxes software for the iPhone. Mailboxes are a relatively mature product. It comes as a default with the phone therefore has a very large user base. Nevertheless, the “all inboxes” interface is less than ideal…

Human Comuter Interaction

8 min read

Design thinking for Data Scientists — Need-finding planning
Design thinking for Data Scientists — Need-finding planning
Human Comuter Interaction

8 min read


Sep 27, 2020

Design Thinking for Data Scientists — Need-finding

Author(s): Tara Su Abstract. This report includes the need-finding results using participant observation, user interviews, and post-event protocols. The need-finding focuses on the pain point of using the iPhone mailbox app to check email in all situations, especially when available time is limited (under 10 minutes time span). The clear…

Humancomputer Interaction

15 min read

Design thinking for Data Scientists — Need-finding
Design thinking for Data Scientists — Need-finding
Humancomputer Interaction

15 min read

DSXL4AIML

DSXL4AIML

1 Follower

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