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s24 AML 3304 FRI PM s3 fri pm JULY 5 class plan: Slack, TRELLO, and Case Studies

Mid term test will start at 3:00 for run for 90 minutes (if you finish the test early, you can leave early)

For your project, which we will be starting next week: You will be Slack as one of the delivery mechanisms of your project:

Lab Workbook : Using
`H2O.ai`⁠
to build and deploy the AI MODEL

⁠

https://coda.io/@peter-sigurdson/lab-workbook-creating-a-simple-mvp-proof-of-concept-ai-model-usi⁠

⁠

Today we are going to start using Slack to do case studies.

⁠

https://coda.io/@peter-sigurdson/a-guide-for-collaborating-with-team-members-on-class-case-studie⁠

Every team: Add peter@petersigurdson.net

GREAT JOB! Team 1: "Neural Networkers" - Topic A: Building on Runpod.io

Khanal Anish Patel Anshu Manishkumar Kantar Arman Aksel Bisht Ashish Singh Jha Avishek Ananda Xavier Evin Tom Solanki Harsh Nareshkumar Kakadiya Harvi Bhaveshbhai

GREAT! Team 2: "Cloud Cognition Crew" - Topic B: Harnessing Google Cloud

Gajera Jaydipkumar Jayantibhai Sehgal Jyotsna Amalanathan Valarmathi Keerthana Rakholiya Krunal Kalubhai Dontoju Meher Vamsi Shah Niral Neupane Nishant Baldaniya Piyush Premjibhai

Team 3: "H2O Hydra Minds" - Topic C: Exploring H2O

Bhattarai Prashant Kothapalli Priyanka Bahri Rudraksh Pilli Sai Kiran Poudel Sandip Patchipulusu Sarveswararao Patel Shivamkumar Nair Shreya Gopikrishnan

Team 4: "Kaggle Kernel Kings" - Topic D: Kaggle

Banawala Shreyash Sumera Shruti Shaikh Sufia Begum Lamichhane Sujan Sudan Tazeen Singh Khatri Ujjwal Patel Vinamra Anilkumar

Each team should follow the instructions provided:

Create a Trello board for your team's analysis.

Conduct research on your assigned topic using the provided links.

Analyze the platform/tool based on the suggested questions.

Present your findings using the Trello board.

Advice for using Trello collaboratively:

Create lists for different stages: Research, Analysis, Presentation Prep, and Review.

Assign team members to specific cards or tasks.

Use labels to categorize information (e.g., advantages, limitations, use cases).

Attach relevant screenshots or diagrams to cards.

Use checklists within cards to break down complex tasks.

Encourage team members to comment on cards for discussions.

Set due dates for important milestones.

Use the "Power-Up" feature to integrate useful tools like Google Drive or Slack.

Remember to address the suggested analysis questions:

What are the key features and capabilities of the platform/tool?

How does it compare to similar platforms in terms of functionality, ease of use, and cost?

What types of AI or machine learning projects is this platform best suited for?

What are the potential limitations or drawbacks of using this platform?

How might this tool be integrated into existing business processes or workflows?

Good luck to all teams! This activity will contribute to your project grade and class ranking, so collaborate effectively, leverage each team member's strengths, and aim for a comprehensive and insightful analysis.

Case Study LINKS:

topic A : Building on

Runpod.io⁠

⁠

https://www.linkedin.com/pulse/build-train-deploy-specific-model-using-custom-data-peter-sigurdson-dycbc?trackingId=IPtCQBKqdVbuFb55h0xQTQ%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_content_view%3BDNiK7H%2FRRvK1PdI7TzGL%2BQ%3D%3D

topic B: Harnessing Google Cloud

https://www.linkedin.com/pulse/harnessing-google-cloud-generative-ai-development-peter-sigurdson-bqdhc?trackingId=%2F0QinM%2FmBWuKJLm3yOJj9w%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_content_view%3BDNiK7H%2FRRvK1PdI7TzGL%2BQ%3D%3D

https://medium.com/@samantagavare/comparing-google-colab-kaggle-and-vertex-ai-which-platform-is-right-for-your-neural-network-42eb8329771c

topic C: Exploring H2O:

https://www.linkedin.com/pulse/exploring-h2oai-tool-platform-building-deploying-ai-llm-sigurdson-giqdc?trackingId=aDGjYBpwvBJd3Qh3a0NA4g%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_content_view%3BDNiK7H%2FRRvK1PdI7TzGL%2BQ%3D%3D

topic D: Kaggle

https://www.linkedin.com/pulse/comparing-google-colab-kaggle-vertex-ai-which-right-your-sigurdson-cxdqc

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