Artificial Intelligence

 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.

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.

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

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.

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

Core ML is pretty easy to use — except when it doesn’t do what you want. The Core ML Survival Guide is packed with tips and tricks for solving the most common Core ML problems. Updated for iOS 14 and macOS 11.

See how data can help improve your business and the society at large. Understand the basics of Artificial Intelligence

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!

Data Science is a growing field. Want to learn the popular java programming language and Stanford NLP to do text mining and Natural Language Processing, this is the book to grab.

In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms hypothesizing individuals’ preferences.

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.