Welcome LMU's BEST!

This in-presentation activity will help you explore some of the exciting data, models, and opportunities at the intersection of machine learning and business!

A few preliminaries before we begin:

  1. Get into groups of 2 - 4 for this activity.

  2. Elect ONE group member to be the recorder, who will need to create several slides documenting the group's work.

  3. Grab a copy of the Google Slide templates here:

    Presentation Template (Google Slides)

  4. Click the Use Template button at the top of the slides to begin your own copy.

  5. Follow the next steps to create several (simple) slides to document your findings related to the discussion's material!

There will be no obligation to present your slides, but I'll ask for volunteers to share in the final minutes!

Note also: although the following descriptions mention 1-slide each, you're free to add others if you see fit.

Feel free to skip any slide if you're more interested in what follows!

Slide 1 - Data Dilemma

Get practice finding datasets that might be amenable to machine learning for some business task!

  1. Go to a data repository from amongst those listed on the Wiki page, or just jump straight to either Kaggle or GitHub's Awesome Public Datasets:

    Wiki - ML Datasets

    Kaggle Datasets

    GitHub Awesome Datasets

  2. Find a dataset that you find interesting and could envision becoming useful to an app or business through the tools of ML.

  3. Take a screenshot of the dataset or its description and add that to Slide 1.

  4. Lastly, on Slide 1, briefly describe your business idea surrounding the dataset in terms of inputs and outputs of a model fit to it.

Slide 2 - Model Search

Get practice finding pre-trained models that might be used in some business task!

  1. Go to HuggingFace's repository of public models and explore a category of interest, e.g., image-to-text or text classification:


  2. Find a model that you find interesting and could envision becoming useful to an app or business.

  3. Take a screenshot of the model or its description and add that to Slide 2.

  4. Lastly, on Slide 2, briefly describe your business idea surrounding the model. This may or may not be consistent with your dataset found on Slide 1.

Not sure what you're looking for?

Here's an example from the slides:

  • Check out the Vision-and-Language Transformer (ViLT) that takes an image and a question to produce answers here:

    Vision and Language Transformer

  • In the right panel, find the "Hosted Inference API" to play around with the model to see what it can do!

  • For example, ask "What color are the flowers?" and click Compute.

  • As for an accompanying business idea, consider an app designed for children that allows them to ask questions about a picture and have an AI automatically respond!

Slide 3 - AI in Apps

Now that you've seen some data and models, time to be creative!

This one's wide open!

On your final Slide 3, either:

  • Give a lightning pitch for an AI-enabled app or business that incorporates some of the data or model ideas from the lecture or your previous slides... OR:

  • Find a recent app or business that used AI to further its goals.


This one's easy -- when you're done with your slides, make sure to share them and then place a link in the following document:

BEST Slide Links

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