Learn IT - Books tags reinforcement

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Packt Publishing, 2019

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

Key Features

A go-to guide to help you master AI algorithms and concepts

8 real-world projects tackling different challenges in healthcare, e-commerce, and...

Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing)

Springer, 2005

Learning Classifier Systems (LCS) [Holland, 1976] are a machine learning technique which combines evolutionary computing, reinforcement learning, supervised learning or unsupervised learning, and heuristics to produce adaptive systems. They are rulebased systems, where the rules are usually in the traditional production system form of “IF...

Disciplined Entrepreneurship Workbook

John Wiley & Sons, 2017

The essential companion to the book that revolutionized entrepreneurship

Disciplined Entrepreneurship Workbook provides a practical manual for working the 24-step framework presented in Disciplined Entrepreneurship. Unlocking key lessons and breaking down the steps, this book helps you delve deeper into the...

Reinforcement of Polymer Nano-Composites: Theory, Experiments and Applications

Cambridge University Press, 2009

Reinforced rubber allows the production of passenger car tires with improved rolling resistance and wet grip. This book provides in-depth coverage of the physics behind elastomer reinforcement, with a particular focus on the modification of polymer properties using active fillers such as carbon black and silica. The authors build a firm theoretical...

Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Packt Publishing, 2018

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

Build a variety of Hidden Markov Models (HMM)

Create and apply models to any sequence of data to analyze, predict, and extract valuable...

ExamInsight For CompTIA Security+ Certification Exam SY0-101

Total Recall Publications, 2002

Part of the TotalRecall: IT Certification System Series, this new book fills the gap existing in the complete study aid material available for candidates preparing to set the CompTIA Security+ Exam. This book covers information associated with each exam topic in detail and includes information found in no other book. This manual is designed to...

Practical Machine Learning

Packt Publishing, 2016

About This Book

Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark

Comprehensive practical solutions taking you into the future of machine learning

Go a step further and integrate your machine learning projects with...

Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

CRC Press, 2009

Traditional books on machine learning can be divided into two groups â those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

Fundamentals of Durable Reinforced Concrete (Modern Concrete Technology Series (E. & F.N. Spon).)

Taylor & Francis, 2002

This book will be of particular interest to specifiers applying the principles of the new European Standard EN 206-1 for the first time; to postgraduate researchers in mathematical modeling of degradation mechanisms; to undergraduates of engineering, architecture, and building technology; and to students of advanced concrete technology who...

Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

Apress, 2021

Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.

You’ll learn the differences between...

Maya 8 at a Glance +CD

Sybex, 2006

The Visual Key to Maya

One look and you'll see that this Maya book is different from all the others. It presents the core Maya features visually, using pages packed with striking graphics and loaded with concise explanations of the Maya interface. This expanded edition includes more tutorials; updated material on modeling,...

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Packt Publishing, 2018

Build and deploy powerful neural network models using the latest Java deep learning libraries

Key Features

Understand DL with Java by implementing real-world projects

Master implementations of various ANN models and build your own DL systems

Develop...

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