Leanpub Header

Skip to main content

Filters

Category: "Mathematics"

Mathematics

  1. Logic for Programmers

    Not just for mathematicians and detectives! Learn the basics of logic and its many applications, including advanced testing, constraint solving, function composition, and code proofs. Over 50 exercises and 20 sample programs are included. No prior math background required!

  2. Linear Algebra
    Linear Algebra
    OpenIntro and Jim Hefferon

    If you are able to contribute, it will go to support OpenIntro (not the author), a US-based nonprofit working to spread open materials, e.g. by providing desk copies to instructors considering this text. This listing is in collaboration with the textbook's author, Jim Hefferon. Linear Algebra's official websitePaperbacks are $22openintro.org

  3. APEX Calculus
    APEX Calculus
    4th Edition
    OpenIntro and Gregory Hartman

    Leanpub revenue supports OpenIntro. OpenIntro is a US-based nonprofit that provides textbook services to help increase adoption of OER textbooks and save students money. These textbook services are fully financed by Leanpub contributions on supported books. APEX Calculus website: apexcalculus.comOpenIntro website: openintro.org

  4. Discrete Mathematics for Computer Science
    Discrete Mathematics for Computer Science
    Alexander S. Kulikov, Alexander Golovnev, Alexander Shen, Vladimir Podolskii, and Marie Brodsky

    This book supplements the DM for CS Specialization at Coursera and contains many interactive puzzles, autograded quizzes, and code snippets. They are intended to help you to discover important ideas in discrete mathematics on your own. By purchasing the book, you will get all updates of the book free of charge when they are released.

  5. Mathematical  foundations  of ai and data science
    Mathematical foundations of ai and data science
    Discrete Structures, Graphs, Logic and Combinatorics in Practice
    Anshuman Mishra

    Mathematical Foundations of AI and Data Science: Discrete Structures, Graphs, Logic, and Combinatorics in Practice transforms abstract mathematical concepts into practical tools for computational problem-solving.Explore logic, set theory, relations, functions, combinatorics, discrete probability, graph algorithms, trees, algebraic structures, Boolean systems, recurrence relations, optimization.

  6. The Orange Book of Machine Learning - Green edition
    The Orange Book of Machine Learning - Green edition
    The essentials of making predictions using supervised regression and classification for tabular data.
    Carl McBride Ellis

    The essentials of making predictions using supervised regression and classification for tabular data. Tech stack: python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost, TabPFN, TabICL

  7. Introductory Statistics with Randomization and Simulation
    Introductory Statistics with Randomization and Simulation
    OpenIntro, David Diez, Mine Cetinkaya-Rundel, and Christopher Barr

    A complete foundation for Statistics, also serving as a foundation for Data Science, that introduces inference using randomization and simulation while covering traditional methods. Leanpub revenue supports OpenIntro, so we can provide free desk copies to teachers interested in using our books in the classroom. More resources: openintro.org.

  8. Linear Algebra
    Linear Algebra
    by example
    little world

    Learn linear algebra by doing itfrom vector to neural networks

  9. A Quick Steep Climb Up Linear Algebra
    A Quick Steep Climb Up Linear Algebra
    Version 1.1.0
    Stephen Davies
    No Description Available
  10. Simple Calculus
    Simple Calculus
    Dylan Kang
    No Description Available
  11. The Smartest Way to Learn Python Regular Expressions
    The Smartest Way to Learn Python Regular Expressions
    Learn the Best-Kept Productivity Secret of Code Masters
    Finxter, Zohaib Riaz, and Lukas Rieger

    Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

  12. What they Ask : Class-wise MCQs to Build Strong Mathematical Foundations  for class 6th and  7th
    What they Ask : Class-wise MCQs to Build Strong Mathematical Foundations for class 6th and 7th
    Class-wise MCQs to Build Strong Mathematical Foundations for class 6th and class 7th
    Santosh Behera

    What They Ask: Class-wise MCQs to Build Strong Mathematical Foundations for Class 6th and Class 7thTurn exam fear into exam confidence — one sharp question at a time."What They Ask" brings class-wise MCQ practice for Class 6 and Class 7 Math — numbers, fractions, ratios, geometry, mensuration, data handlingand more. Perfect for students, parents, and teachers preparing for exams.

  13. PARADOX-FREE LOGIC: Disproving Gödel's Incompleteness and Turing's Halting Problem
    PARADOX-FREE LOGIC: Disproving Gödel's Incompleteness and Turing's Halting Problem
    Resolving Self Referential Paradoxes and Restoring Completeness using Paradox-free Logic
    Serhii Kravchenko

    For nearly a hundred years, math believed it found the edge of its own certainty. Gödel proved some truths can never be proven. Turing proved some questions can never be answered — a permanent wall built into logic.What if it's not structural? What if it's a bug?Both proofs smuggle in a self-referential sentence with no way to be rejected. A third truth-value, and the paradox stops computing.

  14. Semananka prasna
    Semananka prasna
    Class-wise MCQs to Build Strong Mathematical Foundations (I – V)
    Santosh Behera

    Class-wise MCQs to Build Strong Mathematical Foundations (I – V). Importent math MCQs for primary school students from class 1 to 5 in odia script

  15. Coffee Break AI
    Coffee Break AI
    Understand How Artificial Intelligence Really Works - One Short Chapter at a Time
    Finxter

    Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.