We have controlled experiments from key scholars in relevant fields showing GPT-4 is competitive with humans in:
1) Forecasting, where it meets or exceeds crowds of experts.
2) ideation, where it exceeds the idea quality of trained students
More academic expert testing is needed!
MACHINE LEARNING
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GPT-4 Matches Human Experts in Forecasting and Ideation
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AI and Image Recognition Transforming Marketing Future
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The Rise Of #AI And Image Recognition: Shaping The Future Of #Marketing
by @ONPASSIVE Learn more: https://
buff.ly/3P5IFFM #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pascal_bornet @yvesmulkers @kuriharan -
Types of Data Roles in Big Data and Artificial Intelligence
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Types of #Data Roles
via @KirkDBorne #BigData #ArtificialIntelligence #ML #MI #DataScience cc: @ravikikan @pbalakrishnarao @bigdata -
Snorkel Flow: 96% Recall Model in Three Days Zero Labels
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From zero labeled data to a 96% recall, production-ready model in three days? It may sound impossible, but not with Snorkel Flow.
— Snorkel AI (@SnorkelAI) 28 mars 2024
Snorkel AI's Gabe Smith and Matt Casey recently talked through this impressive case.
Full video here: https://t.co/vGuMawe7LE pic.twitter.com/9FCtJclzBuFrom zero labeled data to a 96% recall, production-ready model in three days? It may sound impossible, but not with Snorkel Flow. Snorkel AI's Gabe Smith and Matt Casey recently talked through this impressive case. Full video here: https://
youtu.be/l4kmQZ50_WQ -
Difference Between Business Analyst Data Scientist and Data Analyst
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The Difference Between Business Analyst, #DataScientist and #DataAnalyst
by @nevrekaraishwa2 #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pbalakrishnarao @yvesmulkers @pascal_bornet -
DS 101 Course Outline: Machine Learning Modeling Theory and Practice
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𝗗𝗦 𝟭𝟬𝟭 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲: https://
aiplus.odsc.com/courses/ds-101
-machine-learning-modelling-in-theory-practice
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Module 1: -Training Overview and Data Science Preliminaries
-Introduction to Modeling Concepts
-Supervised vs. Unsupervised Modeling Module 2: -Insights Discovery and Generalization
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Higher Dimensional Spaces in Modern Machine Learning Insights
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Completely off topic with no subtext whatsoever, but since you are clearly familiar with the principles and the classic thinking about them, you may be interested in one of the critical insights from modern machine learning— in higher dimensional spaces, there basically aren’t
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Hands-On Introduction to Machine Learning Guide
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Hands-On Introduction to #MachineLearning: http://
amzn.to/497o4bP ————
#NeuralNetworks #BigData #Analytics #DataScience #DataScientists #AI #DeepLearning #Coding #Rstats #Python #ML -
Practical Machine Learning for Computer Vision End-to-End ML
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Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: http://
amzn.to/4ajfVSf
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#BigData #DataScience #AI #DeepLearning #ML #IoT #IIoT #Edge #EdgeComputing #EdgeAI #AnomalyDetection #ObjectDetection #Algorithms #NeuralNetworks #DataScientists #Industry40 -
Model Interpretability: How Neural Networks Scatter and Refine Information
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the clarity in these examples is a little startling to me; this is such a good way of doing interpretability; it's interesting that the model seems to scatter details like what Einstein looks like across multiply layers, and it is able to gradually refine throughout the fwd pass