MACHINE LEARNING - AI Dynamics

Building Machine Learning Systems: Complete Components Overview

By

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11 November 2022 17h00

Building machine learning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API At @abacusai we help you with this!

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11 November 2022

ML in Production: Beyond Notebooks to Deployment Challenges

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@avikumart_

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11 November 2022 15h30

Machine learning is hard, there's no doubt about that But Machine learning in production is much harder than ML in notebooks. Developing the ML pipeline to deployment and then maintaining consistent quality prediction building a retraining pipeline becomes more complicated…

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11 November 2022

DAAM: Interpreting Stable Diffusion Cross Attention

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@montreal_ai

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11 November 2022 15h26

What the DAAM: Interpreting Stable Diffusion Using Cross Attention Tang et al.: https://
arxiv.org/abs/2210.04885 #ArtificialIntelligence #DeepLearning #MachineLearning

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11 November 2022

LearnOpenCV Shares Funny Computer Vision Meme Post

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@learnopencv

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11 November 2022 14h48

Here is something to make your Friday a “meme-orable” one! #memes #learnopencv #meme #opencv #computervision #funny #aimemes

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11 November 2022

Machine Learning Model Development for Predictive Maintenance

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@ingliguori

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11 November 2022 14h20

Developing a #MachineLearning model for #PredictiveMaintenance. By @ingliguori New article is on the way! #DigitalTransformation #Cloud #BigData #Industry40 #cybersecurity #Blockchain #DX #Analytics #AI #IIoT #DataScience #IoT #IoTPL #SmartManufactory #RPA #Robotics #ModelOps

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11 November 2022

280+ Machine Learning Projects Solved and Explained with Python

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@haroldsinnott

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11 November 2022 10h30

280+ #MachineLearning Projects Solved & Explained using #Python https://
medium.com/coders-camp/23
0-machine-learning-projects-with-python-5d0c7abf8265
… #IoT #100DaysOfCode #programming #CodeNewbie #reactjs #bugbounty #DataScience #gamedev #BigData #Analytics #Cloud #OpenSource #AI #5G #API #DEVCommunity #CES2023 #FutureOfWork @amankk_9pi

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11 November 2022

AI vs Machine Learning vs Deep Learning: Understanding the Differences

By

@ingliguori

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11 November 2022 9h20

#AI Vs #MachineLearning Vs #DeepLearning
Via @kenovy_it Artificial Intelligence aids in creating intelligent machines.
ML is a subset of AI used to build AI-driven applications.
DL is a subset of ML, it uses massive sets of #data and complex algorithms to train models.

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11 November 2022

Training Degeneracy in Rectangular Weight Matrices Without Hadamard

By

@animaanandkumar

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11 November 2022 8h05

This is the training degeneracy that @jiawzhao is talking about if you only do identity initialization and not Hadamard for rectangular weight matrices

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11 November 2022

ZerO Initialization and Hadamard Transforms for Rectangular Matrices

By

@animaanandkumar

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11 November 2022 8h04

And an overview of how ZerO initialization can overcome degeneracy by using Hadamard transforms for rectangular weight matrices

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11 November 2022

Best SQL Cheat Sheet for Data Science and Machine Learning

By

@haroldsinnott

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11 November 2022 8h00

Best of #SQL Cheat Sheet #MachineLearning #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #IoT #5G #Python #RStats #TensorFlow #JavaScript #ReactJS #FutureOfWork #DataScientist #Linux #Programming #100DaysofCode #NodeJS #golang #NLP #GitHub #CES2023 #SDGs #MLOps

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11 November 2022