Category: Mathematics

NO-CODE AI: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms Front Cover

NO-CODE AI: Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms

  • Length: 404 pages
  • Publication Date: 2024-08-01
0
0 ratings
The Early-Career Professional’s Guide to Generative AI: Opportunities and Challenges for an AI-Enabled Workforce Front Cover

The Early-Career Professional’s Guide to Generative AI: Opportunities and Challenges for an AI-Enabled Workforce

  • Length: 202 pages
  • Publication Date: 2024-09-09
0
0 ratings
Building Social Equity with AI: Validating User Transactions with AI Front Cover

Building Social Equity with AI: Validating User Transactions with AI

  • Length: 278 pages
  • Publication Date: 2024-09-07
0
0 ratings
Serious Cryptography, 2nd Edition: A Practical Introduction to Modern Encryption Front Cover

Serious Cryptography, 2nd Edition: A Practical Introduction to Modern Encryption

  • Length: 360 pages
  • Publication Date: 2024-10-15
5
3 ratings
An Introduction to Algebraic and Combinatorial Coding Theory Front Cover

An Introduction to Algebraic and Combinatorial Coding Theory

  • Length: 277 pages
  • Publication Date: 2023-12-01
0
0 ratings
Linear Algebra II: Advanced Topics For Applications Front Cover

Linear Algebra II: Advanced Topics For Applications

  • Length: 276 pages
  • Publication Date: 2022-08-02
0
0 ratings
Programming with Python for Engineers Front Cover

Programming with Python for Engineers

  • Length: 305 pages
  • Publication Date: 2024-09-20
0
0 ratings
Love Triangle: How Trigonometry Shapes the World Front Cover

Love Triangle: How Trigonometry Shapes the World

  • Length: 352 pages
  • Publication Date: 2024-08-20
4.2
120 ratings
Large Language Models: A Deep Dive: Bridging Theory and Practice Front Cover

Large Language Models: A Deep Dive: Bridging Theory and Practice

  • Length: 506 pages
  • Publication Date: 2024-09-21
0
0 ratings
15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms Front Cover

15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms

  • Length: 492 pages
  • Publication Date: 2024-09-10
0
0 ratings
Python Programming for Beginners Bootcamp: A No-Nonsense Crash Course Textbook Crafted to Have You Coding ASAP Visual Step by Step Guide Hands-On Projects and Exercises Front Cover

Python Programming for Beginners Bootcamp: A No-Nonsense Crash Course Textbook Crafted to Have You Coding ASAP Visual Step by Step Guide Hands-On Projects and Exercises

  • Publication Date: 2023-12-04
0
0 ratings
Introduction to Python for Science and Engineering, 2nd Edition Front Cover

Introduction to Python for Science and Engineering, 2nd Edition

  • Length: 420 pages
  • Publication Date: 2024-09-23
3.9
9 ratings