Michael - Theory 1

What is Information Science? This comprehensive book answers this key question and explains how information science differs from data science and library science. Using a range of practical examples……続きを見る

What is information? What are its characteristics? Where does it come from? Can information be the product of natural processes? Is intelligence needed to create information? What about DNA, does it……続きを見る

Unlock the Power of AI in Minutes with "Customizing ChatGPT" Immerse yourself in the innovative and time-efficient world of artificial intelligence with "Customizing ChatGPT". This concise and power……続きを見る

General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at "runtime" (n other words, they don't know the rules until the game starts).……続きを見る

Information Architecture is about organizing and simplifying information, designing and integrating information spaces/systems, and creating ways for people to find and interact with information con……続きを見る

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists t……続きを見る

Learning to code controllers, PLCs & HMIs? ★ Hacks To Crush PLC Programs From Beginning. Start Designing, Building, Simulating and Testing Programs in IEC Languange (This book guides only on LD (Lad……続きを見る

Are you pursuing a field that requires at least some knowledge of computer networking? Do you wish to learn about the future of networking and how electronics function? If this is true, then this is……続きを見る

Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the rel……続きを見る

Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML……続きを見る

Visualization and visual analytics are powerful concepts for exploring data from various application domains. The endless number of possible parameters and the many ways to combine visual variables ……続きを見る

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key Features Understand deep learning algorithms and ar……続きを見る

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features • Discover quick solutions to common problems that you'll face while buildi……続きを見る

This volume is the umbilical offshoot of its 'mother book', Science and the Soul. Both are truly original works. We begin by linking with the latter. Then, using facts from palaeoanthropology, biolo……続きを見る

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text……続きを見る

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming language Key Featu……続きを見る

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practice……続きを見る

Build production-grade machine learning models with Amazon SageMaker Studio, the first integrated development environment in the cloud, using real-life machine learning examples and code Key Feature……続きを見る

Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key Features Get to grips with the different reinforcem……続きを見る

Ten years ago, groupware bundled with email and calendar applications helped track the flow of work from person to person within an organization. Workflow in today's enterprise means more monitoring……続きを見る

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, wh……続きを見る

Pentium Processor Optimization Tools covers advanced program optimization techniques for the Intel 80x86 family of chips, including the Pentium. The book starts by providing a review and history of ……続きを見る

Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training too……続きを見る

Document Computing: Technologies for Managing Electronic Document Collections discusses the important aspects of document computing and recommends technologies and techniques for document management……続きを見る