Introduction to #TimeSeries Analysis and #Forecasting [2nd edition] (from the Wiley Series in #Probability and #Statistics): http://
amzn.to/3PYxMW3
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#DataScience #PredictiveAnalytics #ML #MachineLearning #AI #Mathematics #DataScientist
MACHINE LEARNING
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Introduction to Time Series Analysis and Forecasting Second Edition
By
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Bayesian Modeling and Computation in Python Book
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“Bayesian Modeling and Computation in #Python” available at http://
amzn.to/3K15NQo
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#Statistics #Mathematics #Probability #MachineLearning #DataScience #Inference #ComputationalScience #Simulation #coding #DataScientist -
50 Essential Algorithms Every Programmer Should Know
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50 #Algorithms Every Programmer Should Know: http://
amzn.to/3Mi1hAk via @PacktDataML —————
#DataScientist #DataScience #Coding #Mathematics #MachineLearning #Statistics #ComputerScience #AI #Cryptography #ComputationalScience -
New Machine Learning Mathematics Book Release Available Now
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New release, now available! "Mathematics of Machine Learning" See it here: http://
amzn.to/4eN7i52 by @TivadarDanka via @PacktDataML ——————
#DataScientist #DataScience #AI #ML #MachineLearning #Calculus #Probability #LinearAlgebra #Mathematics -
Essential Mathematics Fundamentals for Data Science and Machine Learning
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Essential Math for #DataScience — Take Control of Your Data with Fundamental #LinearAlgebra, #Calculus, #Probability, and #Statistics: http://
amzn.to/47GEBCZ
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#Mathematics #Analytics #MachineLearning #AI #DeepLearning #DataScientist #Algorithms -
Essential Books on AI Mathematics and Machine Learning Foundations
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Why Machines Learn – The Elegant Math Behind Modern AI: http://
amzn.to/4dwliQc
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Deep Learning Foundations and Concepts: http://
amzn.to/4mw2xAE
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#DataScience #AI #ML #MachineLearning #Mathematics #LinearAlgebra #Probability #Calculus #DataScientist -
Embedding, Clustering and Topic Modeling Workflow
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actually much simpler – 1. embed data
2. cluster
3. run topic model on clusters courtesy of @nomic_ai ! -
Qwen 3 0.6B Outperforms GPT-5 in Simple Math
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Qwen 3 0.6B beats GPT-5 in simple math Via r/locallama
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SLMs Over LLMs: Better Choice for Agentic AI Systems
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Here’s why SLMs are a better choice for agentic AI: • High task accuracy on focused, repetitive tasks • Lower memory usage and faster inference • Huge cost savings over time • Easy to slot into a hybrid setup with LLMs for general reasoning
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SLMs Improve Rapidly Migration From LLMs Easier Than Expected
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A few takeaways: 1. SLMs are improving rapidly, even at the same parameter size 2. Migrating from LLMs to SLMs is easier than expected