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Applying Reinforcement Learning on Real-World Data with Practical Examples in Python
Background and Definitions.- Reinforcement Learning Theory.- A Robot Cleaner Example.- The Classroom Environment.- Industry Applications.- Conclusion.- Bibliography.- Authors' Biographies.
2022
Building Machine Learning Systems with Python - Third Edition
<p><strong style="color: rgba(68, 68, 68, 1)">Build intelligent end-to-end machine learning systems with Python</strong></p><p><strong>Key Features</strong></p><ul><li>Use scikit-learn and TensorFlow to train your machine learning models</li><li>Implement popular supervised and unsupervised machine learning algorithms in Python</li><li>Discover best practices for building production-grade machine ...
2018
Card-sharpers, their tricks exposed, or, the art of always winning
Card-sharpers, their tricks exposed, or, the art of always winning
2019
Construction Learning as a Complex Adaptive System
<p><p>This book presents the current state of the art on Construction Grammar models and usage-based language learning research. It reports on three psycholinguistic experiments conducted with the participation of university-level Italian learners of English, whose second language proficiency corresponds to levels B1 and B2 of the 'Common European Framework of Reference for Languages' (CEFR). This...
2015
Deep Reinforcement Learning with Python
<div><div><div>Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.</div><div><br></div><div>You'll begin by reviewing the Markov decision processes, Bellman equati...
2021
Deep Learning with TensorFlow - Second Edition
<p><strong>Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.</strong></p> <p><strong>Key Features</strong></p> <ul> <li><span id=""trade_usp_bullets_c"" class=""sugar_field"">Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow</span></li> <li><span id=""trade_usp_bullet...
2018
Drum Hand Book
Drum Hand Book is like an old school arcade game but a drum book. Short and Sweet. 16 Levels. Rudiments, Dynamics, Accents, Subdivisions, Rolls, Solos, Speed Chart, and Secret Temple Codes! This book covers a variety of exercises that will unlock creative freedom in your hands.
2015
Essential Learning Theories
Research-based theories provide the basis for good decision-making in education. As well, teacher effectiveness and student learning are enhanced when research-based theories are used to design curriculum and daily lessons. This book examines human learning in the context of four types of research-based learning theories: neurological learning theories, behavioral learning theories, cognitive lear...
2019
Graph Machine Learning
<p><strong>Build machine learning algorithms using graph data and efficiently exploit topological information within your models</strong></p><p><br></p><p><strong>Key Features:</strong></p><ul><li>Implement machine learning techniques and algorithms in graph data</li><li>Identify the relationship between nodes in order to make better business decisions</li><li>Apply graph-based machine learning me...
2021
Hands-On Mathematics for Deep Learning
<p><strong>A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures</strong></p><p><strong>Key Features</strong></p> <ul> <li>Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks</li> <li>Learn the mathematical concepts needed to understand how deep learning mo...
2020
Hands-On Machine Learning with C++
<p><strong>Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets</strong></p><p><strong>Key Features</strong></p> <ul> <li>Become familiar with data processing, performance measuring, and model selection using various C++ libraries</li> <li>Impleme...
2020
Hands-On Python Deep Learning for the Web
<p><strong>Use the power of deep learning with Python to build and deploy intelligent web applications</strong></p><p><strong>Key Features</strong></p> <ul> <li>Create next-generation intelligent web applications using Python libraries such as Flask and Django</li> <li>Implement deep learning algorithms and techniques for performing smart web automation</li> <li>Integrate neural network archite...
2020
Implementing Project Based Learning in Early Childhood
<P>This ground-breaking book proves that Project Based Learning (PBL) does work in early childhood classrooms. Most common understandings of PBL in Pre-K through 2nd grade are rife with assumptions, misconceptions, and perceived barriers that have prevented its widespread implementation.<EM> Implementing Project Based Learning in Early Childhood</EM> breaks down these barriers, offering teachers a...
2020
Interpretable Machine Learning with Python
<p><strong>Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable models</strong></p><p><br></p><p><strong>Key Features:</strong></p><ul><li>Learn how to extract easy-to-understand insights from any machine learning model</li><li>Become well-versed with inter...
2021
Italian
<p><strong>If you want to learn Italian fast and in a variety of fun ways that actually work then keep reading.</strong></p><p>Most people don't have a huge amount of extra time to spend learning a new language.</p><p>Could you be one of them?</p><p>You see, most people make the same mistakes when learning Italian and this is causing their progress to stagnate. The problem is that they are onl...
2020
Knowledge Transfer and Learning
The way knowledge is managed in a company is crucial for gaining competitive advantage. Knowledge management has been recognized by academics and practitioners as important to achieve success and improvement in projects. Achieving continuous improvement is considered a difficult task. The difficulty lies in capturing and storing the knowledge and learning from one individual to another and from on...
2010
Learning Elastic Stack 7.0 - Second Edition
<p><strong>A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0</strong></p> <p><strong>Key Features</strong></p> <ul><li>Gain access to new features and updates introduced in Elastic Stack 7.0</li> <li>Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana</li> <li>Explore useful tips for using Elastic Cloud and deploy...
2019
Learning Geospatial Analysis with Python - Third Edition
Learning Geospatial Analysis with Python - Third Edition
2019
Learning Java by Building Android Games - Third Edition
<p><strong>Get ready to learn Java the fun way by developing games for the Android platform with this new and updated third edition</strong></p><p><strong>Key Features</strong></p><ul><li>Learn Java, Android, and object-oriented programming from scratch</li><li>Find out how to build games including Sub Hunter, Retro Pong, Bullet Hell, Classic Snake, and Scrolling Shooters</li><li>Create and design...
2021
Learning Spring Boot 2.0 - Second Edition
<p><strong>Use Spring Boot to build lightning-fast apps</strong></p><p><br></p><p><strong>Key Features:</strong></p><ul><li>Get up to date with the defining characteristics of Spring Boot 2.0 in Spring Framework 5</li><li>Learn to perform Reactive programming with SpringBoot</li><li>Learn about developer tools, AMQP messaging, WebSockets, security, MongoDB data access, REST, and more</li></ul><p><...
2017