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Sciences

  1. Advanced Machine Learning Made Easy - Volume 1
    Advanced Machine Learning Made Easy - Volume 1
    From Theory to Practice with NumPy and scikit-learn, Volume 1: Generalized Linear Models
    Ferenc Farkas, PhD

    These three-volume book series cover a wide variety of topics in machine learning focusing on supervised and unsupervised learning, intended for data scientist and machine learning experts providing a very concise description of the scikit-learn library. The first volume covers the generalized linear models (linear & logistic regression).

  2. Internationale Hochschulstudie
    Internationale Hochschulstudie
    Die Onlinepräsenz von über 2.500 Hochschulen im Vergleich
    Jonathan Schubert and Magnus Schubert

    Die Onlinepräsenz einer Hochschule erfüllt viele unterschiedliche Funktionen. Eine wesentlich ist es in einem immer internationaler werdenden Umfeld, einen Beitrag zur Akquisition neuer Studierenden zu leisten. Doch wie unterschiedlich sind die Online Auftritte in den verschiedenen Ländern und wo bestehen Nachholbedarfe?

  3. Hacker's Guide to Neural Networks in JavaScript
    Hacker's Guide to Neural Networks in JavaScript
    Beginners guide to understanding Machine Learning in the browser with TensorFlow.js
    Venelin Valkov

    Build Machine Learning models (especially Deep Neural Networks) that you can easily integrate with existing or new web apps. Think of your ReactJs, Vue, or Angular app enhanced with the power of Machine Learning models.

  4. MathEasy- So verstehst du die Grundlagen der Mathematik 1

    Wenn du die Grundlagen der Mathematik endlich verstehen willst, dann ist das Buch genau das richtige für dich!

  5. Concepts, Problems and Solutions in Permutations, Combinations and Probability

    The present work is an arithmetic treatment of the principles of permutations, combinations and probability with a large number (more than 3000) of solved examples. Based on a purely arithmetic basis, the present elementary treatise will be intelligible to a reader who has no knowledge of mathematics.

  6. Hands-On Machine Learning from Scratch
    Hands-On Machine Learning from Scratch
    Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python
    Venelin Valkov

    "What I cannot create, I do not understand" - Richard Feynman This book will guide you on your journey to deeper Machine Learning understanding by developing algorithms in Python from scratch! Learn why and when Machine learning is the right tool for the job and how to improve low performing models!

  7. Temperature of the Earth

    Our planet is warming up. In this short book I will discuss what sets the Earth's temperature and explain why it is increasing. There will be a small amount of mathematics used here and there in the book because this is a "numbers" story. Happily it is not necessary to know much of this at all in order to appreciate the discussion.

  8. Vim para noobs
    Vim para noobs
    Um livro guia/referência para quem deseja aprender a utilizar o editor de textos Vim
    William Oliveira

    O editor de textos VIM é o que muitos dizem ser a maneira mais produtiva de se escrever software. Sua produtividade vem devido ao seu modo de uso baseado em atalhos, ser carregado no terminal e outros pontos legais. Nesse livro nós aprendemos rapidamente a utilizar o VIM e ainda podemos usar como referência para quando esquecemos seus comandos.

  9. Think Reader
    Think Reader
    Writing by Design: Reader-based Techniques to Improve Your Writing
    Jean-Luc Lebrun

    The book reveals how to recognize what in your writing overwhelms the reader's memory, attention, and knowledge to create confusion, misunderstanding, disinterest, and frustration. Through many examples and corrected exercises in literature and science, and with the help of original assessment tools, this book will turn you into a reader's writer.

  10. How the internet works
    How the internet works
    cleopatra douglas

    This book is meant to teach kids how the internet works, feedback would be greatly appreciated.

  11. Essays on Data Analysis

    This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.

  12. Graphs Don’t Lie
    Graphs Don’t Lie
    How to Lie with Graphs and Get Away With It…
    Lee Baker

    In this astonishing book, author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience.Written as a layman’s guide to lying, cheating and deceiving with graphs, there’s not a dull page in sight!Discover the exciting world of graphical lies.

  13. Truth, Lies & Statistics
    Truth, Lies & Statistics
    How to Lie with Statistics
    Lee Baker

    In this eye-opening book, author Lee Baker uncovers the key tricks used by statistical hustlers to deceive, hoodwink and dupe the unwary.Written as a layman’s guide to lying, cheating and deceiving with data and statistics, there’s not a dull page in sight!Discover the exciting world of statistical cheating and persuasive misdirection.

  14. Info-Ops
    Info-Ops
    Build the Right Thing
    Daniel Markham

    Build the right thing.

  15. Climate Change Impasse:
    Climate Change Impasse:
    Time for a paradigm shift
    Michael Dalton

    Current action to manage global warming is inadequate. But how are decisions made? Scientists pursue a reductionist explanation of reality. In this approach, our genes act selfishly. Are our decisions made by our genes? Is our future determined by thoughtless actions of our genes? There is another explanation. We could be living in a simulation.