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Data Science Books

Explore 891 books tagged Data Science, frequently overlapping with Computers, Artificial Intelligence and Data Analytics. The most-featured authors and publishers for this subject are listed below.

891books tagged
Related genres
ComputersArtificial IntelligenceData AnalyticsComputer ScienceMathematicsTechnology & EngineeringBusiness & EconomicsDatabase Administration & Management

Top authors in Data Science

Information R. . . Management AssociationNeil WilkinsChandraish SinhaJoshua N. MilliganWesley DugganDavid BrownMario Andrea MarchisioDavid TuretskyWeilerGary Sutton

Publishers featuring Data Science

Packt PublishingPackt Publishing, LimitedCRC PressO'Reilly Media, Inc.IGI GlobalSpringer USElsevier ScienceJohn Wiley & SonsSpringer Science & Business MediaTaylor & Francis Group
  • Welcome to the World of HR Data Doodles — David Turetsky

    Welcome to the World of HR Data Doodles — David Turetsky

  • Creating with Code A Fun Exploration of Computer-Generated Images and Machine Learning — Weiler

    Creating with Code A Fun Exploration of Computer-Generated Images and Machine Learning — Weiler

  • Statistics Slam Dunk — Gary Sutton

    Statistics Slam Dunk — Gary Sutton

  • Advanced Applications and Structures in XML Processing Label Streams, Semantics Utilization, and Data Query Technologies — Changqing Li

    Advanced Applications and Structures in XML Processing Label Streams, Semantics Utilization, and Data Query Technologies — Changqing Li

  • Building Web Solutions with ASP.NET and ADO.NET — Dino Esposito

    Building Web Solutions with ASP.NET and ADO.NET — Dino Esposito

  • Exchange Rates, Capital Flows and Policy — Rebecca Driver

    Exchange Rates, Capital Flows and Policy — Rebecca Driver

  • Algorithmic Principles of Mathematical Programming — Ulrich Faigle

    Algorithmic Principles of Mathematical Programming — Ulrich Faigle

  • Dimensions of Intelligent Analytics for Smart Digital Health Solutions — Freimut Bodendorf

    Dimensions of Intelligent Analytics for Smart Digital Health Solutions — Freimut Bodendorf

  • Data Labeling in Machine Learning with Python Explore Modern Ways to Prepare Labeled Data for Training and Fine-tuning ML and Generative AI Models — Vijaya Kumar Suda

    Data Labeling in Machine Learning with Python Explore Modern Ways to Prepare Labeled Data for Training and Fine-tuning ML and Generative AI Models — Vijaya Kumar Suda

  • Understanding Machine Learning From Theory to Algorithms — Shai Shalev-Shwartz

    Understanding Machine Learning From Theory to Algorithms — Shai Shalev-Shwartz

  • Computational Intelligence Based Solutions for Vision Systems — Varun Bajaj

    Computational Intelligence Based Solutions for Vision Systems — Varun Bajaj

  • 6G-Enabled IoT and AI for Smart Healthcare Challenges, Impact, and Analysis — Ashish Kumar

    6G-Enabled IoT and AI for Smart Healthcare Challenges, Impact, and Analysis — Ashish Kumar

  • Adobe Acrobat DC Classroom in a Book — Lisa Fridsma

    Adobe Acrobat DC Classroom in a Book — Lisa Fridsma

  • Research Anthology on Machine Learning Techniques, Methods, and Applications, VOL 1 — Information R. . . Management Association

    Research Anthology on Machine Learning Techniques, Methods, and Applications, VOL 1 — Information R. . . Management Association

  • Hands-On Data Science for Marketing Improve Your Marketing Strategies with Machine Learning Using Python and R — Yoon Hyup Hwang

    Hands-On Data Science for Marketing Improve Your Marketing Strategies with Machine Learning Using Python and R — Yoon Hyup Hwang

  • IBM Cognos 8 Planning — Ned Riaz

    IBM Cognos 8 Planning — Ned Riaz

  • Deep Learning for Finance Creating Machine and Deep Learning Models for Trading in Python — Sofien Kaabar

    Deep Learning for Finance Creating Machine and Deep Learning Models for Trading in Python — Sofien Kaabar

  • Winning Together A UX Researcher’s Guide to Building Strong Cross-Functional Relationships — Sonal Srivastava

    Winning Together A UX Researcher’s Guide to Building Strong Cross-Functional Relationships — Sonal Srivastava

  • Deep Learning from the Basics Python and Deep Learning: Theory and Implementation — Koki Saitoh

    Deep Learning from the Basics Python and Deep Learning: Theory and Implementation — Koki Saitoh

  • Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics — Thomas Nield

    Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics — Thomas Nield