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Category: "Artificial Intelligence"

Artificial Intelligence

  1. 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.

  2. 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.

  3. 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.

  4. Feature Selection in Machine Learning
    Feature Selection in Machine Learning
    Over 20 methods to select the most predictive features and build simpler, faster, and more reliable machine learning models.
    Soledad Galli, PhD

    Learn how to implement various feature selection methods in a few lines of code and train faster, simpler, and more reliable machine learning models. Using Python open-source libraries, you will learn how to find the most predictive features from your data through filter, wrapper, embedded, and additional feature selection methods.

  5. 5G Basics & Architecture

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

  6. 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.

  7. 4th Industrial Revolution

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

  8. 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

  9. 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.

  10. 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.

  11. Does Your Brain Need You?
    Does Your Brain Need You?
    An Introduction to Neuroscience and Consciousness
    Clemens Lode

    Recently, researchers have found a theory that explains every aspect of conscious experience. This book explores this theory and introduces you to neuroscience and gives you instructions how to build a conscious machine.

  12. Network Analysis Made Simple
    Network Analysis Made Simple
    An introduction to network analysis and applied graph theory using Python and NetworkX
    Eric Ma and Mridul Seth

    Are you interested in learning about graph theory and applied network analysis, leveraging your Python skills? Then this is the book for you! See how network science & graph theory connects with a variety of data analysis problems, and use it to solve your next data science challenge!

  13. 研究、生活、幸福
    研究、生活、幸福
    研究生葵花寶典
    Huango

    G>G>G> 研究、生活、幸福。G>G>

  14. Clean Machine Learning Code

    Isn't it weird that ML software is super important, yet crazy fragile? If ML software is valuable but so unstable, how come data scientists and ML engineers are rarely trained on the basics of building profitable software systems? What to do about it?

  15. Applied Edge Computer Vision and Machine Learning
    Applied Edge Computer Vision and Machine Learning
    Impatient AI Product Engineering
    Noah Gift

    Focus on building working solutions