Description

Book Synopsis
Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program in data science without knowing enough statistics.

Table of Contents
Prologue I Talking Probability 1: Eminence of Models 1.A. For brave eyes only 2: Building Vocabulary 2.1: Probability 2.1.1 Basic rules 2.2: Conditional probability 2.2.1 Independence 2.2.2 Law of total probability 2.2.3 Bayes law 2.3: Random variables 2.3.1 Summation and integration 2.3.2 Expectations and variances 2.3.3 Two simple distributions 2.4: The bell curve 3: Gaining Fluency 3.1: Multiple random quantities 3.1.1 Higher-dimensional problems 3.2: Two

Essential Statistics for Data Science A Concise

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Order before 4pm today for delivery by Tue 13 Jan 2026.

A Paperback / softback by Mu Zhu

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    View other formats and editions of Essential Statistics for Data Science A Concise by Mu Zhu

    Publisher: Oxford University Press
    Publication Date: 04/04/2023
    ISBN13: 9780192867742, 978-0192867742
    ISBN10: 0192867741
    Also in:
    Mathematics Bayesian inference

    Description

    Book Synopsis
    Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program in data science without knowing enough statistics.

    Table of Contents
    Prologue I Talking Probability 1: Eminence of Models 1.A. For brave eyes only 2: Building Vocabulary 2.1: Probability 2.1.1 Basic rules 2.2: Conditional probability 2.2.1 Independence 2.2.2 Law of total probability 2.2.3 Bayes law 2.3: Random variables 2.3.1 Summation and integration 2.3.2 Expectations and variances 2.3.3 Two simple distributions 2.4: The bell curve 3: Gaining Fluency 3.1: Multiple random quantities 3.1.1 Higher-dimensional problems 3.2: Two

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