Leanpub Header

Skip to main content

Filters

Category: "Artificial Intelligence"

Artificial Intelligence

New to Artificial Intelligence? Read the Artificial Intelligence article

  1. Scrum in AI
    Scrum in AI
    Artificial Intelligence Agile Development with Scrum and MLOps
    Paolo Sammicheli

    How to develop an Artificial Intelligence application? This book includes Agility foundations, engineering practices, real examples, and suggestions for implementing them in your company. Foreword by Jeff Sutherland, co-author of Scrum and the Agile Manifesto.

  2. Darwin ≥ Marx - Eco/logical R/evolution
    Darwin ≥ Marx - Eco/logical R/evolution
    Theory of Evolution, is greater than or equal to Historical Materialism?
    Ciprian Pater

    The battle for our collective identity, is continually waged, as no human has as of yet, been crowned as a sovereign king of all creation.

  3. Computational Model of Sense Making
    Computational Model of Sense Making
    An Ontological Approach
    Gulam Husain and Zaber Al Hassan Ayon

    Computational Sense Making is new and exciting area of Applied AI with lot of research interest. In this book, we have attempted to give our readers an introduction of the topic with an implementation approach. This will help readers understand the topic in depth and apply computational sense making in different use cases.

  4. What Just Happened: Descriptive Statistics
    What Just Happened: Descriptive Statistics
    An Explorer’s Guide to Data
    Shefali Nayak

    The book explains the core concepts and terminologies of Descriptive Statistics using real-world examples. The book contains 17 practice problems, 2 quizzes, 36 graphical representations and numerous examples to enable effective learning and understanding of the concepts. Please check the bundle options with this book for better deals!

  5. Understanding Deep Learning
    Understanding Deep Learning
    Application in Rare Event Prediction
    Chitta Ranjan

    "It is like a voyage of discovery, seeking not for new territory but new knowledge. It should appeal to those with a good sense of adventure," Dr. Frederick Sanger. I hope every reader enjoys this voyage in deep learning and find their adventure.

  6. Coffee Break Pandas
    Coffee Break Pandas
    74 Pandas Puzzles to Build Your Pandas Data Science Superpower
    Finxter, Lukas Rieger, and Kyrylo Kravets

    The sexiest job in the 21st century? Data Science!Coffee Break Pandas teaches you the new superpower of analyzing and processing data with Python's Pandas framework. If solving puzzles is fun for you, you'll love ❤ this book with 74 brand-new, hand-crafted Pandas puzzles to help you stay relevant in today's marketplace.

  7. Introduction to Machine Learning with Python

    Machine Learning (ML) and Artificial Intelligence (AI) are shaping the future—and now is the time to get started. This book teaches you the fundamentals of Machine Learning with Python through practical, beginner-friendly examples. No prior ML experience required.

  8. Learn Pandas Basics in Weekend
    Learn Pandas Basics in Weekend
    Learn Pandas in Weekend Part I.
    Hisham El-Amir

    This weekend, we will cover many fundamental operations of the Pandas. Many of the sections will be similar to those in Data Science Essentials if read.

  9. Self aware Robot´s
    Self aware Robot´s
    Adrian Vasile

    I write this book for all the people who believe that link between technology and humans can create a better world. I believe that fast advancement of the technology will help our planet to solve many problems in a more fast smart way that what human brain is capable to do.All this because of fast development of microprocessor architecture.

  10. 5G Basics & Architecture

    This is a short manual to understand the 4th Industrial Revolution Technologies & 5G in very easy & understandable language.

  11. Deep Learning Computer Vision Project
    Deep Learning Computer Vision Project
    Traffic Sign Detection & Recognition
    Hisham El-Amir

    Recently, convolutional neural networks have surpassed humans in different tasks such as classification of natural objects and classification of traffic signs. After their great success, convolutional neural networks have become the first choice for learning features from training data.

  12. 4th Industrial Revolution

    This is a short manual to understand the 4th Industrial Revolution Technologies in very easy & understandable language.

  13. Data Harmonization in the Key of C
    Data Harmonization in the Key of C
    (or How to Tune Your Data)
    Michaël Brands

    IF your data isn't contextual, connected, complete & controllable; you don't control your data, your talent, and the impact they can make; you don't know how to use data to manage the cycle of innovation in a global market; you're not in the Sweet Spot where this comes together in harmony... This is the book you didn't even know you needed

  14. Hiring Data Scientists and Machine Learning Engineers

    Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to help you hire the right people for your organization. The book will help you navigate the plethora of data science related roles and skills and help you create an effective hiring strategy to suit your organization's needs.

  15. Learn Python Basics in Weekend
    Learn Python Basics in Weekend
    Learn Python Part I: Learn Python Programming Basics
    Hisham El-Amir

    This series will introduce you to the Python programming language. It’s aimed at beginning programmers, but even if you’ve written programs before and just want to add Python to your list of languages, Introducing Python will get you started.