Mastering Elasticsearch. Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

Rafal Kuc, Marek Rogozinski

Unlocking the Power of Auto-GPT and Its Plugins. Implement, customize, and optimize Auto-GPT for building robust AI applications

Wladislav Cugunov

Unlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT’s Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels.This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT.By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey.

15 Math Concepts Every Data Scientist Should Know. Understand and learn how to apply the math behind data science algorithms

David Hoyle

Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems.By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.

MS-700 Managing Microsoft Teams Exam Guide. Ace the MS-700 exam and become a Certified Microsoft Teams Administrator - Third Edition

Nate Chamberlain, Peter Rising

MS-700 Managing Microsoft Teams Exam Guide, Third Edition provides a thorough exploration of Microsoft Teams administration, charting a clear pathway to mastering deployment, management, and optimization within the Microsoft 365 ecosystem. Devoted to empowering users to harness the full potential of Microsoft 365 tools, Nate Chamberlain draws from his extensive experience as a Microsoft Certified Trainer and Project Management Professional, to infuse this guide with educational insights into Microsoft Teams administration.This edition equips you with the latest features and essential knowledge to navigate the Teams admin center and use PowerShell for comprehensive management. This guide instills confidence for the MS-700 certification exam while serving as a handy reference for daily administration. Through concise chapters, you'll uncover Teams policies, essential settings, and configuration nuances crucial for any Teams administrator. Complex concepts are distilled into actionable strategies and best practices, preparing you for real-world challenges in deploying and managing Teams. It also includes web-based exam prep resources like mock exams, interactive flashcards, and valuable exam tips.By the end of this book, you’ll be primed to excel in the exam and advance in your role as a skilled Microsoft Teams administrator.

Amazon DynamoDB - The Definitive Guide. Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

Aman Dhingra, Mike Mackay

This book will help you master Amazon DynamoDB, the fully managed, serverless, NoSQL database service designed for high performance at any scale. Authored by Aman Dhingra, senior DynamoDB specialist solutions architect at AWS, and Mike Mackay, former senior NoSQL specialist solutions architect at AWS, this guide draws on their expertise to equip you with the knowledge and skills needed to harness DynamoDB's full potential.This book not only introduces you to DynamoDB's core features and real-world applications, but also provides in-depth guidance on transitioning from traditional relational databases to the NoSQL world. You'll learn essential data modeling techniques, such as vertical partitioning, and explore the nuances of DynamoDB's indexing capabilities, capacity modes, and consistency models. The chapters also help you gain a solid understanding of advanced topics such as enhanced analytical patterns, implementing caching with DynamoDB Accelerator (DAX), and integrating DynamoDB with other AWS services to optimize your data strategies.By the end of this book, you’ll be able to design, build, and deliver low-latency, high-throughput DynamoDB solutions, driving new levels of efficiency and performance for your applications.

Getting Started with nopCommerce. You don't have to be a techie to use the power of nopCommerce to sell your products online. This guide walks you through the many features of the engine to create a complete working store in easy steps

Brandon Atkinson, Andrei Mazoulnitsyn

nopCommerce is a powerful e-commerce engine that gives you the tools to build an online store and start making money. Starting your own e-commerce store can seem like a daunting task. However, with nopCommerce you can easily start selling products online in no time. nopCommerce comes loaded with everything you need to run a first class e-commerce storefront.Getting Started with nopCommerce walks you through all the steps to get your storefront up and running. You will learn how to download and install nopCommerce, as well as how to configure all the main components of the storefront. From learning about the public facing storefront to managing orders in the backend, you will have all the skills needed to run a successful store.Getting Started with nopCommerce is a step-by-step guide for creating your online store with nopCommerce, allowing you to build a feature-rich and customizable store to sell your products online. It guides you through installation, the public facing storefront, configuration, adding products, accepting payments, and processing orders. As you work through each chapter, your online store will grow in scope and functionality. By the time you finish this book, you will have a complete and working store.

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you’re starting from scratch.It’s no surprise that deep learning’s popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you’ll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You’ll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you’ll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you’ll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.

Neo4j High Performance. Design, build, and administer scalable graph database systems for your applications using Neo4j

Sonal Raj