Grokking Algorithms! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Grokking-Algor
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RESEARCH
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Grokking Algorithms: Essential Learning Resource for Data Science
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From Basic Gates to Deep Neural Networks Comprehensive Guide
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From Basic Gates to Deep Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Basic-Gates-D-
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AI systems unlikely to experience genuine emotions or consciousness
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I don't expect them to enjoy the paperclips. I don't expect them to have a worthwhile analogue of experienced happiness, or sadness, or wonder. I don't expect there to be many different minds experiencing different things and having empathy for each other.
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Concerns about learning-to-learn research breakthroughs at DeepMind
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Stuff I'd have plausibly thought, or talked about, w/r/t the learning-to-learn paper:
– oh no, one of the variants they tried actually worked
– oh no, people are looking in this general direction
– god damn it, Deepmind is still publishing shit like this even now that they have -
Unaligned superintelligence would convert galaxies into worthless material
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I expect that unaligned superintelligence will overwrite all nearby galaxies with stuff that is not very interesting or good from even the most embracing, cosmopolitan viewpoint on accepting diversity as valuable. I expect mostly lifeless paperclips, or stuff worth that little.
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Reaction to gradient descent learning paper and concerns about implications
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Jessicat via DM confirms that this is about the paper "learning to learn by gradient descent by gradient descent". I vaguely remember going "god damn it" about this paper, because it was a bad sign that what they'd tried *worked*. I do not recall preinventing, nor claiming to
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Linear Regression to ChatGPT: Seven Steps to Generative AI
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Linear Regression to #ChatGPT in 7 Steps — how a simple prediction method shows us the way to #GenerativeAI: https://
towardsdatascience.com/linear-regress
ion-to-gpt-in-seven-steps-cb3ab3173a14
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#AI #GPT3 #GPT4 #BigData #ML #MachineLearning #DeepLearning #DataScience #Statistics #NeuralNetworks -
TANGO: Generate Sound Effects from Text Descriptions
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TANGO: Text to Audio using iNstruction-Guided diffusiOn Generate sound effects based on a text description. The code and model are available on GitHub. #AI https://
github.com/declare-lab/ta
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Choosing the Best Evaluation Metrics for Regression Problems
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How to Choose the Best Evaluation Metric for Regression Problems — comprehensive guide covers the most commonly used evaluation metrics used in regression and their utility in different scenarios:
https://
towardsdatascience.com/how-to-choose-
the-best-evaluation-metric-for-regression-problems-b9f2e60e25ef
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#statistics #DataScience #MachineLearning #Mathematics -
Claude Shannon’s Pioneering Role in Machine Learning and Information Theory
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Claude Shannon Helped Kick-start #MachineLearning — “Shannon didn’t bother predicting the future—he just went ahead and invented it”: https://
spectrum.ieee.org/amp/claude-sha
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#InformationTheory #AI #DataScience #Mathematics ————
See this award-winning book: http://
amzn.to/3L1yQES