[Download 619-page PDF eBook] “#Forecasting in Economics, Business, Finance and Beyond” at https://
sas.upenn.edu/~fdiebold/Teac
hing221/Forecasting.pdf
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#BigData #DataScience #AI #MachineLearning #Mathematics #DataLiteracy #DataScientists #PredictiveAnalytics #PredictiveModeling
MACHINE LEARNING
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Free eBook on Forecasting Methods Across Economics and Business
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Algorithmic Trading eBook: Quantitative Strategies for Profitable Results
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[Download 208-page PDF eBook] Successful #AlgorithmicTrading — quantitative strategies for profitable trading results: https://
raw.githubusercontent.com/englianhu/bina
ry.com-interview-question/fcad2844d7f10c486f3601af9932f49973548e4b/reference/SuccessfulAlgorithmicTrading.pdf
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#TimeSeries #PredictiveAnalytics #Forecasting #MachineLearning #Statistics #DataScience #Algorithms #Mathematics -
Free Deep Learning eBook by Simon Prince Available for Download
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[Download 541-page PDF eBook] Understanding #DeepLearning: http://
udlbook.github.io/udlbook/ by @SimonPrinceAI —————
#BigData #DataScience #AI #ML #MachineLearning #NeuralNetworks #ReinforcementLearning #NLProc #ComputerVision #Algorithms #DataScientists #Mathematics -
Physics-based Deep Learning: Free 287-Page PDF eBook Download
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[Download 287-page PDF eBook] Physics-based #DeepLearning: https://
arxiv.org/abs/2109.05237 Learn more: https://
physicsbaseddeeplearning.org
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#AI #MachineLearning #DataScience #Physics #NeuralNetworks #Algorithms #Mathematics #ReinforcementLearning -
Mathematical Introduction to Deep Learning Methods and Theory PDF
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[Download 601-page PDF eBook] Mathematical Introduction to #DeepLearning — Methods, Implementations, and Theory: http://
arxiv.org/abs/2310.20360
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#AI #Mathematics #BigData #DataScience #Algorithms #MachineLearning #Calculus #LinearAlgebra #DataScientists -
Linear Models in Machine Learning and Statistical Learning PDF eBook
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[Download 400-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: https://
arxiv.org/abs/2401.00649 —————
#Mathematics #DataScience #LinearAlgebra #Statistics -
Applied Causal Inference with Machine Learning and AI
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[Download 496-page PDF eBook] Applied Causal #Inference Powered by #MachineLearning and #AI: https://
arxiv.org/abs/2403.02467 #ML #DataScience #Algorithms #Statistics -
Extracting K-means Centroids from pgvector Embeddings
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Is there a way to get clusters of vectors with pgvector? Goal: auto-generate groups within data that has embedding vectors. Basically, calculate the k-means centroids like ivfflat does but get the actual centroids instead of "just" creating an index?
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Yi 34B Tech Report Reveals Model Architecture and Capabilities
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Wondering what's powering the trending #yi34b? Curious about the tech behind it? At @01AI_Yi
, we've written a tech report revealing the inside scoop on:
Base and chat models
200K long context model
Depth-upscaled model
Vision-language model
Enjoy! -
Multi-Stage Learning Rate Scheduler Improves Model Training Performance
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We've also introduced a multi-stage infinite Learning Rate Scheduler that enables us to adjust the model's learning speed during training, optimizing our sessions and enhancing overall performance. Read the report here: https://
arxiv.org/abs/2402.17834 (3/3)