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Category: "Machine Learning"

Books

  1. Trust Me, I'm A Bot
    Trust Me, I'm A Bot
    Building Digital Trust Using Conversational AI
    Allan Froy

    Building a chatbot is easy. Too easy, in fact. Learn why your bots need to build trust with users and start your journey to a truly engaging chatbot experience.

  2. Startups with China
    Startups with China
    Ideas and Execution Plans
    Qiao Zhang

    Have you ever wanted to start a business in China? The book is an ideas library with detailed execution plans to help non-Chinese entrepreneurs start a business in China, within fields of coding, AI and Machine Learning, IoT, Internet, Consumer Products and Services, Investment, Fintech, Data Analytics, B2B and MarTech.

  3. Machine Learning Pipeline
    Machine Learning Pipeline
    Experience Gain
    Hisham El-Amir

    Hello! Welcome to this guide to machine learning pipeline. If you want to get up-to-speed with some of the most data modeling techniques and gain experience using them to solve challenging problems, this is a good book for you!

  4. Genetic Algorithms with Python

    Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

  5. A Mathematical Theory of the Unknown
    A Mathematical Theory of the Unknown
    Journey Beyond the Frontiers of Human Understanding
    R. A. García Leiva

    This book introduces a formal framework for measuring ignorance (or nescience) and for guiding scientific discovery. Grounded in computability theory, Kolmogorov complexity, and artificial intelligence, the book analyzes how representations and models encode knowledge, and how their limitations can be quantified. The result is a new perspective on unknown unknowns, perfect knowledge, and the limits of science. For readers interested in artificial intelligence, scientific discovery, and the foundations of knowledge.