Massive 774-page book by @rasbt “#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at http://
amzn.to/3J6DK4u ————
#100DaysOfCode #BigData #DataScience #AI #NeuralNetworks #DataScientists @PacktPublishing @PacktAuthors
TOOLS
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Machine Learning with PyTorch and Scikit-Learn Book Released
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Containerization and Kubernetes scaling for ML workloads
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1) Containerization provides consistent, reproducible behavior required for ML workloads.
2) Scaling gets first-class support in Kubernetes, unlocking scaling for training and experimentation. -
Kubernetes Lessons Learned Running ML at Snorkel
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Snorkel tackles heavy ML workloads for some of the world's largest organizations. We have built our infrastructure on Kubernetes—even though it wasn't designed for ML! Here are a few lessons learned from @wheeliamhuang
, Tech Lead Manager at Snorkel https://
snorkel.ai/kubernetes-les
sons-learned-at-snorkel-ai/
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Free RPA Certification Course Available for May
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!! Make 𝗠𝗔𝗬 your month of personal development!! I partnered with SS&C Blue Prism and LinkedIn Learning to make this #RPA certification course 𝗙𝗥𝗘𝗘 (for a month). So jump on this! 𝗦𝗵𝗮𝗿𝗲 it with your networks. Share it…lnkd.in/eFCH9f7u lnkd.in/e8Bj6pbV
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Build LLM Applications with Abacus AI Platform
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REGISTER NOW FOR THIS https://
eventbrite.com/e/611420795057 Learn how, then build your own LLM applications using the @AbacusAI #AI-Assisted #DataScience platform—
Applications like:
• ChatLLM — search your own custom knowledge base
• DataLLM — search your tabular data & custom reports -
Abacus AI Offers Customizable Machine Learning and Deep Learning Solutions
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@abacusai provides a wide variety of #AI / #MachineLearning / #DeepLearning solutions. And they enable your org to fine-tune these models with your own data to provide even better results: https://
abacus.ai/foundation_mod
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#BigData #DataScience #ComputerVision #NLProc #GenerativeAI -
AI Art Tools: Creators vs Artists Using Midjourney
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I guess it depends on the artist. I see that there are two main categories of people using AI art tools, such as Midjourney: 1. Creators: Those who are experimenting see the possibilities of what AI can do. 2. Artists: Those who have a vision and use AI as a tool to realise
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MetaSpore: Algorithmic Application Framework for Big Data
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MetaSpore: Algorith. App Framework! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/MetaSpore -
Speed up Model Training with Snapml
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How to Speed up Model Training with Snapml! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Speedup-SnapML -
SageMaker Studio Labs and Jupyter Made Easy for Data Science
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SageMaker Studio Labs and #Jupyter Made Easy! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Jupyter-Made-E
asy
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