Data Science Books

532 books

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who…

Seth Stephens-Davidowitz

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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who…

Seth Stephens-Davidowitz

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EXAM PREPARATION GUIDE FOR ‘CERTIFIED ANALYTICS PROFESSIONAL’ (CAP) AND ‘ASSOCIATE CERTIFIED ANALYTICS PROFESSIONAL’ (aCAP) CERTIFICATIONS (CAP & aCAP Exam)

EXAM PREPARATION GUIDE FOR ‘CERTIFIED ANALYTICS PROFESSIONAL’ (CAP) AND ‘ASSOCI…

Rajan Gupta

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Exploratory Data Analysis with Polars

Exploratory Data Analysis with Polars

Finbarrs Oketunji

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Exploring Big Historical Data: The Historian's Macroscope

Exploring Big Historical Data: The Historian's Macroscope

Shawn Graham

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Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, ... Edition (Windows Internals Supplements)

Extended Windows Memory Dump Analysis: Using and Writing WinDbg Extensions, Dat…

Dmitry Vostokov Software Diagnostics Services Dublin School Of Security

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Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists (Revised Edition)

Feature Engineering & Selection for Explainable Models: A Second Course for Dat…

Md Azimul Haque

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Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)

Max Kuhn Kjell Johnson

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Feature Engineering Avancé: Techniques essentielles pour améliorer les performances des modèles avec Scikit-Learn (French Edition)

Feature Engineering Avancé: Techniques essentielles pour améliorer les performa…

Edward Larlin

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Feature Engineering Bookcamp

Feature Engineering Bookcamp

Sinan Ozdemir

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature Engineering for Machine Learning: Principles and Techniques for Data Sc…

Alice Zheng Amanda Casari

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature Engineering for Machine Learning: Principles and Techniques for Data Sc…

Alice Zheng Amanda Casari

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FEATURE ENGINERING: The Race Engineer's Art and Science for Model Victory

FEATURE ENGINERING: The Race Engineer's Art and Science for Model Victory

Fatih Hattatoglu

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Feature Selection: From Foundations to Variational Frontiers: Designing Stable, Interpretable, and High-Dimensional Machine Learning Systems

Feature Selection: From Foundations to Variational Frontiers: Designing Stable,…

Omar Soub

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Financial Data Science with Python: An Integrated Approach to Analysis, Modeling, and Machine Learning

Financial Data Science with Python: An Integrated Approach to Analysis, Modelin…

Dr. Haojun Chen

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Financial Risk Analytics: Measurement, Management and Examples in R

Financial Risk Analytics: Measurement, Management and Examples in R

R. K. Arora Prerna Lal

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First-order and Stochastic Optimization Methods for Machine Learning (Springer Series in the Data Sciences)

First-order and Stochastic Optimization Methods for Machine Learning (Springer …

Guanghui Lan

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Flexible Regression and Smoothing (Chapman & Hall/CRC The R Series)

Flexible Regression and Smoothing (Chapman & Hall/CRC The R Series)

Robert A. Rigby Mikis D. Stasinopoulos Gillian Z. Heller Fernanda De Bastiani Vlasios Voudouris

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Forecasting: Principles and Practice, the Pythonic Way

Forecasting: Principles and Practice, the Pythonic Way

George Athanasopoulos Rob J Hyndman

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FORESIGHT: Predictive Analytics for Business Growth: The Complete Guide to Data-Driven Decision Making and Strategic Forecasting (AI BUSINESS MASTERY: The Complete Transformation Series Book 7)

FORESIGHT: Predictive Analytics for Business Growth: The Complete Guide to Data…

Dr.Agus Masrianto

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Foundations for Analytics with Python: From Non-Programmer to Hacker

Foundations for Analytics with Python: From Non-Programmer to Hacker

Clinton W. Brownley

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Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)

Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chap…

Alan Agresti Maria Kateri Ranjini Grove Antonietta Mira

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Foundations of Calculus for Data Science Vol 1.: An Foundational Guide to Understanding the Application of Calculus to Data Science

Foundations of Calculus for Data Science Vol 1.: An Foundational Guide to Under…

Hayden Van Der Post Vincent Bisette Johann Strauss

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Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hall/CRC Texts in Statistical Science)

Foundations of Statistics for Data Scientists: With R and Python (Chapman & Hal…

Alan Agresti Maria Kateri

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