Read-alikes and related books

Books like Analyzing Data Through Probabilistic Modeling in Statistics

What to read after Analyzing Data Through Probabilistic Modeling in Statistics by Dariusz Jacek Jakóbczak: 24 titles sharing themes of Data Analytics, Data Science, Probability & Statistics, and Mathematics, chosen for mood and literary overlap.

Data Analytics Data Science Probability & Statistics Mathematics Computers

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Read-alikes chosen for how well they continue the mood, themes, and voice of Analyzing Data Through Probabilistic Modeling in Statistics.

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Themes: Data Analytics • Data Science • Probability & Statistics

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High-Dimensional Statistics A Non-Asymptotic Viewpoint

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Themes: Data Analytics • Data Science • Probability & Statistics

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Time Series Forecasting in Python

Themes: Data Analytics • Data Science • Probability & Statistics

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Data Science and Data Analytics Opportunities and Challenges

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Themes: Data Analytics • Data Science • Probability & Statistics

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Simulation for Data Science with R

Themes: Data Analytics • Data Science • Probability & Statistics

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Themes: Data Analytics • Data Science • Probability & Statistics

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Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving

Themes: Data Analytics • Data Science • Probability & Statistics

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Applied Meta-analysis with R and Stata

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Themes: Data Analytics • Data Science • Probability & Statistics

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond — Siddhartha Bhattacharyya

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond

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Themes: Data Analytics • Data Science • Probability & Statistics

Data Mining and Decision Support Integration and Collaboration — Dunja Mladenic

Data Mining and Decision Support Integration and Collaboration

Themes: Data Analytics • Data Science • Probability & Statistics

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Industry 4.0, AI, and Data Science Research Trends and Challenges

Themes: Data Analytics • Data Science • Probability & Statistics

Machine Learning for Protein Subcellular Localization Prediction — Shibiao Wan

Machine Learning for Protein Subcellular Localization Prediction

Themes: Data Analytics • Data Science • Probability & Statistics

The Model Thinker What You Need to Know to Make Data Work for You — Scott E. Page

The Model Thinker What You Need to Know to Make Data Work for You

Themes: Data Analytics • Data Science • Probability & Statistics

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Themes: Data Analytics • Data Science • Probability & Statistics

Programmatic Advertising The Successful Transformation to Automated, Data-Driven Marketing in Real-Time — Oliver Busch

Programmatic Advertising The Successful Transformation to Automated, Data-Driven Marketing in Real-Time

Themes: Data Analytics • Data Science • Probability & Statistics

Beginning Apache Pig Big Data Processing Made Easy — Balaswamy Vaddeman

Beginning Apache Pig Big Data Processing Made Easy

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Themes: Data Analytics • Data Science • Probability & Statistics

Interpreting Discrete Choice Models — Garrett Glasgow

Interpreting Discrete Choice Models

Garrett Glasgow

Themes: Data Analytics • Data Science • Probability & Statistics

Data Science Fundamentals with R, Python, and Open Data — Marco Cremonini

Data Science Fundamentals with R, Python, and Open Data

Marco Cremonini

Themes: Data Analytics • Data Science • Probability & Statistics

Introduction to Business Analytics — Steven Orla Kimbrough

Introduction to Business Analytics

Steven Orla Kimbrough

Themes: Data Analytics • Data Science • Probability & Statistics

If Analyzing Data Through Probabilistic Modeling in Statistics by Dariusz Jacek Jakóbczak is on your shelf, these 24 titles belong there too. Connected by Data Analytics, Data Science, Probability & Statistics and selected for literary and thematic overlap. Featuring work by Juanzi Li, Priscilla M. Chaffe-Stengel, Bon K. Sy, Norman S. Matloff, and others.

More by Dariusz Jacek Jakóbczak

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