Books

This third edition is updated with TensorFlow 2 and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: reinforcement learning and generative adversarial networks.

With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.

In this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease. We start by teaching you how to master the basics of Node.js development, such as its module systems and its event-driven asynchronous programming style. Next, you will learn how creational, structural, and behavioral design patterns can help you create modular and extensible software. Finally, we’ll show you how Node.js applications can be distributed and scaled to create complex software architectures.

This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading challenges, and manage the strategy development process from idea to backtesting and evaluation.

C++ High Performance, Second Edition enables you to measure and identify bottlenecks in the code and eradicate them to amplify your application’s working speed without compromising the readability of your C++ codebase

With five new chapters added to this updated third edition, you’ll be able to leverage Linux and other premier open-source software such as Buildroot and the Yocto Project to speed up your product development cycle. As you advance, you will also learn how to design, implement, and maintain a custom embedded Linux image for your device.

Being familiar with object-oriented design is an essential part of programming in Python. This new edition includes all the topics that made Python Object-Oriented Programming an instant Packt classic. Moreover, it’s packed with updated content to reflect more recent changes in the core Python libraries and cover modern third-party packages.

This third edition covers all the essential information and more in-depth topics needed to implement and utilize Microsoft Windows Server 2019 at the core of your datacenter.

This second edition of Industrial Cybersecurity is a practical guide to implementing a comprehensive and solid security program for the ICS environment. This book shows anyone new to industrial security or professionals looking to extend their industrial security posture how to effectively monitor their ICS environment.

Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library. Due to its simplicity and availability, it is widely used to build GUIs in Python. This book teaches you how to design and build functional, appealing, and user-friendly GUI applications.

Active Directory stores data about objects such as users and groups in structured data stores and then allows network users and administrators to find and use these data when required.

This JavaScript programming book presents concepts in a straightforward and actionable way, with a short theoretical background, an example in the form of a practical project that mimics a real-world application, and relevant tips and best practices. It enables you to see meaningful results on the screen as you interact with code.

Enter the world of self-service business intelligence and become the data hero in your organization, or build a promising new data career. In this second edition, you’ll learn how to cleanse data, build data models, and use the advanced analysis capabilities of Power BI to create business value by unlocking key insights contained in your data.

Fully updated with PyTorch and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: transformers and graph neural networks.