The next update on Complete Machine Learning Package will be a comprehensive guide on MLOps! Stay tuned, turn on notifications, and follow @Jeande_d for more cool learning resources and papers in the meantime. https://
nyandwi.com/machine_learni
ng_complete/
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SOFTWARE
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Complete Machine Learning Package Update: MLOps Comprehensive Guide Coming Soon
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New Free MLOps Course: End-to-End Model Development Pipeline
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New MLOps FREE Course – Effective MLOps: Model Development from Weights and Biases There are lots of things involved in putting models into production. In this new course, you'll learn machine learning lifecycle and how to design end-to-end pipelines. https://
wandb.courses/courses/effect
ive-mlops-model-development
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Databricks Workflows New Features: Slack Notifications Webhooks
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What’s new on Databricks Workflows? Notifications for @SlackHQ and webhooks Streamlined email notifications See how these new features will help you easily integrate Workflows into your operations stack and boost productivity https://
dbricks.co/3Cm7YfP -
Effective Debugging: Thought and Strategic Print Statements
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“The most effective debugging tool is still careful thought, coupled with judiciously placed print statements.” — Brian Kernighan, co-creator of Unix
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Bandwidth Limits Grocery Chains’ Technology Adoption Capabilities
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Bandwidth Challenges Limit Grocery Chains’ Technology Initiatives. Rom Kosla, #CIO OF
@AholdDelhaize
USA, said some stores don’t have enough bandwidth to reliably run latest HR software or pricing displays.
@IsabelleBiscuit
https://
wsj.com/articles/bandw
idth-challenges-limit-grocery-chains-technology-initiatives-11674774793?mod=djemCIO
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Lakehouse Architecture: The Only Data Platform That Matters
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IF IT’S NOT #LAKEHOUSE I DON’T WANT IT
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Programming Languages Timeline: From Fortran to Swift
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When programming languages were created: 1957: Fortran
1958: LISP
1959: #COBOL
1964: BASIC
1972: C
1978: SQL
1980: C++
1991: Python
1993: R
1995: PHP, Java & JS
2001: C#
2009: Go 2014: Swift -
DIMO Network: Open Source Platform Revolutionizing Automotive Industry
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For the latest in an accidental "Crypto Connecting to the Physical World" series, I talked to @Ajchatham about the open source platform for auto: @DIMO_Network
. I'm a user & investor; the product is excellent. Hear how Andy's building & what the future of auto looks like: -
Deploy AI Classifier: Integration with Streamlit and Gradio
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Step 5: Deploy and enjoy a clutter-free inbox! With your AI classifier in place, export the code in your favorite langauge and integrate it with your existing application or create a beautiful front-end using Streamlit or Gradio to share your application with others.
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Training Email Classifier with Sample Data per Category
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Step 2: Provide a few sample emails per category as training data to the model. For better accuracy, you should provide atleast 30 samples per category. You can either write the text in the UI or upload a CSV file.