178,41 €
209,89 €
Fundamentals of Data Science Trilogy
Fundamentals of Data Science Trilogy
178,41 €
209,89 €
  • Išsiųsime per 10–14 d.d.
In this series, we cover statistical experimentation, modeling, and machine learning, focusing on: basic statistics, hypothesis testing, and experimentationvalidation methodologylinear and logistic regression; generalized linear modelscausalitytime series analysisBayesian statisticsclusteringdecision trees, random forests, and boosted forestsartificial neural networks and deep learningreinforcement learningOur focus is on mathematical derivations, algorithmic development, and programming. We us…
178.41 2025-07-06 23:59:00
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Fundamentals of Data Science Trilogy + nemokamas atvežimas! | knygos.lt

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In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:

  • basic statistics, hypothesis testing, and experimentation
  • validation methodology
  • linear and logistic regression; generalized linear models
  • causality
  • time series analysis
  • Bayesian statistics
  • clustering
  • decision trees, random forests, and boosted forests
  • artificial neural networks and deep learning
  • reinforcement learning

Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.



EXTRA 15 % nuolaida

178,41 €
209,89 €
Išsiųsime per 10–14 d.d.

Kupono kodas: ENG15

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In this series, we cover statistical experimentation, modeling, and machine learning, focusing on:

  • basic statistics, hypothesis testing, and experimentation
  • validation methodology
  • linear and logistic regression; generalized linear models
  • causality
  • time series analysis
  • Bayesian statistics
  • clustering
  • decision trees, random forests, and boosted forests
  • artificial neural networks and deep learning
  • reinforcement learning

Our focus is on mathematical derivations, algorithmic development, and programming. We use Python throughout the text to support our theory. All machine learning techniques are coded from scratch using Python.



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