Join Us Dec 21st 🙂 Myself in great company @GlenGilmore & host @Kevin_Jackson #BizTalks
A deep dive on everything #tech #trends 2023! https://
bit.ly/BizTalksLive #5G #Fiber #ATTinfluencer #data #AI #IoT @ScottWLuton #100DaysOfCode #SDGs @psb_dc @baski_LA @ATTBusiness @xlth
DATA
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Tech Trends Deep Dive: 5G, AI, IoT and Data Discussion
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Software Component Requires Statistics and Rules, Not Modern AI
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Yes, a software component is necessary but not AI in the modern sense. Basic statistics, basic rule-based system.
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Cloud Computing and Machine Learning Transform Space Technology
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From developing edge computing capabilities for the International #SpaceStation to applying #machinelearning to creating more useful #satellite images, #cloud computing is revolutionizing the way #technology is used in #space today. https://
linkedin.com/pulse/space-ne
xt-frontier-data-artificial-intelligence-bernard-marr
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Microsoft Data Science For Beginners Learning Resource
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6) DS for begineers https://
github.com/microsoft/Data
-Science-For-Beginners
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Databricks Demo Hub: Interactive Platform Tour and Integrations
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Get a firsthand look at what it’s like to use Databricks at our Demo Hub! Step into the role of a practitioner with on-demand videos that will give you a tour of our platform, products, and partner integrations! Check it out https://
dbricks.co/3h2zlUX -
Wearables Drive Healthcare Innovation Through Data Science
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Are Wearables the Key to Accelerated Healthcare Innovation? Learn what experts at Accenture, Snowflake and Evidation say in The Health and Life Sciences Data Science Innovator’s Playbook. https://
domino.buzz/3HSHmH7 #MLOps #datascience -
MLOps Accelerator Standardizes ML Practices and Collaboration
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#MLOps is growing That’s why we co-developed the #MLOps Accelerator with @WBA_Global
! Designed to standardize #ML practices, this accelerator helps reduce the time to productionize ML models, boost data team collaboration & generate business value https://
dbricks.co/3Bbl8vP -
Building Furniture Recognition System with Machine Learning
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Really really really hard problem to solve, need a massive database of furniture objects and then recognize them, I have no idea how to that, tried to learn it but it's very difficult
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Interactive Visualizations for Model-Written Dataset Evaluations Released
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To help readers understand our evaluations better, we created interactive visualizations showcasing the diversity of each of the model-written datasets: https://t.co/yc9oP9n9uV pic.twitter.com/R5IH7nTJw4
— Anthropic (@AnthropicAI) 19 décembre 2022To help readers understand our evaluations better, we created interactive visualizations showcasing the diversity of each of the model-written datasets: https://
evals.anthropic.com/model-written/ -
LM-written data verified by human evaluators for quality
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We verified LM-written data with human evaluators, who agreed with the data’s labels and rated the examples favorably on both diversity and relevance to the tested behavior. We’ve released our evaluations at