Debu Panda

Curious about how AI works? So is Alina In this engaging, illustrated chapter book, young readers join Alina and her dad on a bedtime journey through the fascinating world of artificial intelligence. From understanding how the human brain works to building simple AI models like the "CatModel" and "AlinaFoodModel," this story-based book introduces core concepts of AI, machine learning, and neural networks in a fun and age-appropriate way.Designed for children ages 8-12, Artificial Intelligence for Kids combines real-world examples, simple analogies, and interactive projects to make complex technology accessible. Through thoughtful dialogue, colorful illustrations, and relatable scenarios-from Netflix recommendations to dancing AI cats-kids (and adults ) will walk away with a strong foundational understanding of how AI touches our everyday lives.Whether you're a parent, educator, or mentor, this book is your guide to sparking curiosity, creativity, and conversations about the future.

Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale Key Features Leverage supervised learning to build binary classification, multi-class classification, and regression models Learn to use unsupervised learning using the K-means clustering method Master the art of time series forecasting using Redshift ML Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAmazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models. The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift. By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.What you will learn Utilize Redshift Serverless for data ingestion, data analysis, and machine learning Create supervised and unsupervised models and learn how to supply your own custom parameters Discover how to use time series forecasting in your data warehouse Create a SageMaker endpoint and use that to build a Redshift ML model for remote inference Find out how to operationalize machine learning in your data warehouse Use model explainability and calculate probabilities with Amazon Redshift ML Who this book is forData scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.

DESCRIPTION The EJB 3 framework was a major advancement for Java EE developers, providing a consistent, easy-to-use model to create and extend applications. Building on the bestselling first edition, EJB 3 in Action, Second Edition tackles EJB 3.1 head-on, through numerous code samples, real-life scenarios, and illustrations. This book is a fast-paced tutorial and includes in-depth EJB 3.1 internal implementation details, best practices, design patterns, and performance tuning tips. The book also discusses using open source frameworks like Seam and Spring with EJB 3.1. RETAIL SELLING POINTS Uses real-world examples In depth coverage of EJB 3.1For both novice and experienced EJB Developers AUDIENCE This book is written for Java EE 6/EJB 3.1 beginners as well as experienced EJB developers. ABOUT THE TECHNOLOGY Java EE is used to build business-logic and persistence-tier enterprise Java applications. EJB 3, JPA and CDI simplifies development of Java components by making components to be POJOs (Plain Old Java Object), which along with frameworks like Hibernate and Spring have become quite popular among Java developers.

This book is a hands-on tutorial detailing Oracle Enterprise Manager Grid Control's management of Middleware. It is a 'how-to', and provides best practices, tips, and troubleshooting guidelines for managing middleware with Oracle Enterprise Manager. This book is targeted at Middleware Administrators, IT Architects, and System Administrators who want to monitor, diagnose, and maximize the system performance of Oracle !--[if gte mso 9] Normal 0 false false false EN-US X-NONE X-NONE ![endif]--!--[if gte mso 9] ![endif]-- Fusion Middleware solutions.