#Python Workout with 50 ten-minute exercises: https://
amzn.to/3vUkpz2
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#Coding #DataScience #ComputationalScience #MachineLearning #DataScientists #SoftwareDevelopment
COMPUTING
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Python Workout: 50 Ten-Minute Coding Exercises
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Implementing MLOps in Enterprise with Production-First Approach
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Implementing #MLOps in the Enterprise — A Production-First Approach: https://
amzn.to/3U3JrWy
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#MachineLearning #DeepLearning #ML #AI #BigData #Analytics #DataAnalytics #DataScience #EnterpriseAI #AIStrategy #DataScientists #CDO #DataEngineering #CTO #DigitalTransformation -
Post-Digital Era: When Technology Becomes Invisible
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When we no longer perceive digital technologies as innovations, it will signify their transformation into part of our personal and professional lives, marking the start of the Post-Digital era. Transform Talks> https://
bit.ly/43aYcJS #PaidPartnership @Huawei #5GAdvanced #MWC24 -
PyTorch Profiler Tutorial Fix in Nightly Release
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fwiw, i checked whether this tutorial was working on the PyTorch Nightly (by running this script directly: https://
raw.githubusercontent.com/pytorch/tutori
als/main/recipes_source/recipes/profiler_recipe.py
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and on the Nightly, this seem to have been fixed.
So it was either fixed in 2.1/2.2; or it'll be fixed in the next release. -
IoT Data Analytics with Python and Streaming Data Techniques
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IoT Data #Analytics using #Python: http://
amzn.to/48hbaGM +
See my #IoT Streaming #DataAnalytics article here: https://
medium.com/@kirk.borne/ho
w-iot-streaming-data-is-going-to-the-dogs-e485fc4a782c
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#Coding #DataScience #DataScientists #AI #AIoT #MachineLearning #IIoT #Edge #EdgeComputing #TimeSeries #PredictiveAnalytics #Industry40 -
Machine Learning on Streaming Data with Python
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#MachineLearning on Streaming Data with #Python ————
#IIoT #IoT #TimeSeries #AI #BigData #DataScience #EdgeComputing #Edge #EdgeAI #PredictiveAnalytics #StreamAnalytics #AnomalyDetection #Forecasting #Industry40 ———— http://
amzn.to/3EFK3Ki from @PacktPublishing -
Microsoft compresses LLM model weights while maintaining quality
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Honey, I compacted the AI model. Researchers at @Microsoft were able to train an LLM with model weights stored in a format that is a heck of a lot smaller than current LLMs while still achieving the same quality. They built on the BitNet work from MSFT last year that
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Snap optimizes OCR inference with computer vision at GTC24
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Join us at #GTC24 on March 20 to learn how Snap optimizes optical character recognition (OCR) inference with #computervision to create interactive experiences. Register now.
— NVIDIA AI (@NVIDIAAI) 4 mars 2024
https://t.co/jajojWY6LV pic.twitter.com/vFTfCPjC2kJoin us at #GTC24 on March 20 to learn how Snap optimizes optical character recognition (OCR) inference with #computervision to create interactive experiences. Register now. https://
nvda.ws/3T0lbT3 -
Grayskull TT-Metallium Quick Start Guide for Hardware Optimization
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Once you purchase and install Grayskull, we created a list of the first 5 things we recommend trying with TT-Metallium to familiarize yourself with the available tools for optimizing performance on #tenstorrent hardware. These can be found in the quick start guide of our Github.
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Join Tenstorrent Discord Grayskull Community for Developers
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You can also join the Tenstorrent Discord to chat directly with the Grayskull community, see what other developers are building, and get help from the Tenstorrent team.