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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 to build and deploy the AI MODEL
Today we are going to start using Slack to do case studies.
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:
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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