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Category: "Artificial Intelligence"

Artificial Intelligence

  1. What is AI ?
    What is AI ?
    And what is its relation to consciousness and life?
    Reik Oberrath

    Intelligence is problem solving. Is that all which can be said about it? How do natural and artificial intelligence differ? And what has consciousness or even life to do with it? How does AI basically work? What is its benefit and disadvantage? How much do we need AI? These questions and more are discussed and to most of them an answer is given.

  2. Machine Learning Engineering

    "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon

  3. Models of Learning and Optimization for Data Scientists
    Models of Learning and Optimization for Data Scientists
    A Python hands-on approach
    Sergio Rojas Galeano
    No Description Available
  4. 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.

  5. A Quick Guide to Data Mining using RapidMiner and Weka

    Want to know about data mining? This book will help you to do data mining using Weka and RapidMiner.

  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. Recommendation Systems with Python
    Recommendation Systems with Python
    Build your recommendation engine step-by-step with python
    Hisham El-Amir

    If you want to learn about recommendation engines, and how it works then this book is for you. but if you want to build a recommendation engine and learn the approaches of it such machine learning techniques that predict user purchases and preferences then this book also for you.

  8. Hunting Convolutional Neural Networks

    This book deals with one of the hot topic in artificial intelligence, Computer vision

  9. The ML cookbook
    No Description Available
  10. ML Cheatsheet: Linear Regression
    ML Cheatsheet: Linear Regression
    Learn Linear Regression in Weekend
    Hisham El-Amir
    No Description Available
  11. Bots
    Bots
    Ale Fernandez

     Various types of modern robot acquire sentient life and fight for survival among marauding humans, military AI and their combined hunger for destruction, and aided by some unlikely foreign allies.

  12. 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.

  13. Python Rocket Science
    Python Rocket Science
    Proven fast-track learning that has been used internationally for over five years in software developer bootcamps.
    Karan Singh

    This is your essential learning resource for the Python language if you have no knowledge of Python and want to bootstrap yourself quickly to a level of proficiency where you can write complex Python programs in cutting edge areas such as machine learning, cryptocurrencies, artificial intelligence, virtual reality, algorithmic trading and so forth

  14. 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.

  15. Inferência em Ciências e Aprendizagem de Máquina
    Inferência em Ciências e Aprendizagem de Máquina
    Filosofia e aplicações com estatística e probabilidade.
    Felipe Coelho Argolo

    Um texto introdutório à ciência de dados escrito em língua portuguesa.Usa uma base filosófica para alinhar abstrações matemáticas e aplicações com software. Aborda temas elementares e avançados.R, STAN, testes estatísticos, análise multivariada, inferência bayesiana, redes neurais e deep learning. Teorema do Lim. Central, MCMC, Gradient Descent