Amazon Hot New Releases Expert Systems in Artificial Intelligence Books. In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.
Amazon Hot New Releases Expert Systems in Artificial Intelligence Books
1. Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics 2nd Edition
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark―a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code.
Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.
2. The Future of the Professions: How Technology Will Transform the Work of Human Experts, Updated Edition
This book predicts the decline of today’s professions and introduces the people and systems that will replace them. In an internet-enhanced society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others, to work as they did in the 20th century.
The Future of the Professions explains how increasingly capable technologies – from telepresence to artificial intelligence – will place the ‘practical expertise’ of the finest specialists at the fingertips of everyone, often at no or low cost and without face-to-face interaction.
3. MacBook Pro User Guide: The Beginner to Advanced Guide of Boosting your Productivity with MacBook Pro & MacOS Catalina
The Beginners and Advanced Guide to Mastering your MacBook Pro with MacOS Catalina.Are you looking for a comprehensive user manual that will help you SETUP and MASTER your MacBook Pro? Are you looking for a manual that will expose you to all the amazing features of your device and MacOS Catalina? Then get your hands on this book and have an amazing time using your device.There is a lot to love in Apple’s latest pro-level portable Macs. The new 13-inch MacBook Pro with Touch Bar looks identical to its predecessor, but once you start using it, you’ll feel the difference in multiple ways. It also offers new features that seem subtle on the surface (like Hey Siri and a True Tone display) but, surprisingly, make a big difference in everyday use. This book is written in simple and clear terms with a step-by-step approach that will help you to master your MacBook Pro with MacOS Catalina within the shortest period of time.
Building Information Modeling (BIM) refers to the consistent and continuous use of digital information throughout the entire lifecycle of a built facility, including its design, construction and operation. In order to exploit BIM methods to their full potential, a fundamental grasp of their key principles and applications is essential. Accordingly, this book combines discussions of theoretical foundations with reports from the industry on currently applied best practices.
The book’s content is divided into six parts: Part I discusses the technological basics of BIM and addresses computational methods for the geometric and semantic modeling of buildings, as well as methods for process modeling. Next, Part II covers the important aspect of the interoperability of BIM software products and describes in detail the standardized data format Industry Foundation Classes.
This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, robotics and machine learning are included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion disc is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.