Learn in-demand skills with a structured course that prepares you for the world of #DataScience as it is today: 81 lessons 5 hours of video 3 practical tasks 50% off for a limited time only > https://
bit.ly/3pywJ25 #BigData #BusinessAnalytics #Data #Technology
MACHINE LEARNING
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Master Data Science Skills with Structured Online Course
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Top Methods in Python Language for Data Science and AI
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#infographic: Top Methods in #Python Language
Via @ingliguori #BigData #Analytics #DataScience #AI #PyTorch #TensorFlow #CloudComputing #DevCommunity #DataScientist #Linux #Programming #DigitalTransformation #MachineLearning #100DaysofCode #ArtificialIntelligence #devops #coding -
Realistic LEO Satellite Testing with 5G AI Technology
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One Step Beyond! Bringing Realistic #testing to Low Earth Orbit #LEO #Satellite simulation @Spirent See https://
bit.ly/3UB9QaY #5G #SpirentAmbassador #AI #test #code #Space #Apps #DataScience @Shi4Tech @Analytics_699 @DeepLearn007 @stratorob @RLDI_Lamy #data @domhalps -
ACM Journal publishes article on the end of programming
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The ACM Journal now has a thing out about “the End of Programming” and… f yeah https://
m-cacm.acm.org/magazines/2023
/1/267976-the-end-of-programming/fulltext
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Google FlexiViT: Flexible Vision Transformer for Any Patch Size
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Meet Google’s FlexiViT: A Flexible Vision Transformer for All Patch Sizes
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Databricks AutoML: Low-Code ML Model Building and Deployment
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Predictive analytics isn't just a tool for data scientists and data engineers. In this on-demand webinar, learn how you can leverage #DatabricksAutoML and other low-code tools to build and train ML models and deploy them into production https://
dbricks.co/3XAadoN -
7-Eleven Uses Computer Vision for Automated Checkout Technology
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7-11 has a computer vision group for their automatic checkout stores
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CEO Predicts Hybrid AI, Model-Driven Business, GPU Demand Rise
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Next year we’ll see the rise of hybrid capabilities, model-driven businesses and the demand for GPUs. Our CEO Nick Elprin is sharing his predictions for 2023 with @BigData_Review
: https://
domino.buzz/3FJkAi7 #datascience -
Scalable Chip Architecture for Trillion Parameter ML Training
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“Their design … has made it so that 1 core looks like 1 chip looks like a whole network. ML training with trillion parameter models requires a lot of compute, you need an architecture that operates the same with 1 chip or 1000 chips.” Thanks @IanCutress
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Highly recommend this guide to prompt engineering
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Highly recommend this guide to prompt engineering — thorough, well referenced, up-to-date, cites my tweets: