{"title":"Ahmed Menshawy","description":null,"products":[{"product_id":"scaling-graph-learning-for-the-enterprise-book-ahmed-menshawy-9781098146061","title":"Scaling Graph Learning for the Enterprise","description":"Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to build an E2E graph learning pipeline. You'll explore core challenges at each pipeline stage, from data acquisition and representation to real-time inference and feedback loop retraining.  Drawing on their experience building scalable and production-ready graph learning pipelines, the authors take you through the process of building the E2E graph learning pipeline in a world of dynamic and evolving graphs.      Understand the importance of graph learning for boosting enterprise-grade applications Navigate the challenges surrounding the development and deployment of enterprise-ready graph learning and inference pipelines Use traditional and advanced graph learning techniques to tackle graph use cases Use and contribute to PyGraf, an open source graph learning library, to help embed best practices while building graph applications Design and implement a graph learning algorithm using publicly available and syntactic data Apply privacy-preserved techniques to the graph learning process","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51629028802833,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51629029130513,"sku":"NGR9781098146061","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52725061648657,"sku":"NIN9781098146061","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1098146069.jpg?v=1751143414"},{"product_id":"deep-learning-by-example-book-ahmed-menshawy-9781788399906","title":"Deep Learning By Example","description":"Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner  About This Book  • Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide • Train different types of neural networks using Tensorflow for real-world problems in language processing, computer vision, transfer learning, and more • Designed for those who believe in the concept of 'learn by doing', this book is a perfect blend of theory and code examples  Who This Book Is For  This book targets data scientists and machine learning developers who wish to get started with deep learning. If you know what deep learning is but are not quite sure of how to use it, this book will help you as well. An understanding of statistics and data science concepts is required. Some familiarity with Python programming will also be beneficial.  What You Will Learn  • Understand the fundamentals of deep learning and how it is different from machine learning • Get familiarized with Tensorflow, one of the most popular libraries for advanced machine learning • Increase the predictive power of your model using feature engineering • Understand the basics of deep learning by solving a digit classification problem of MNIST • Demonstrate face generation based on the CelebA database, a promising application of generative models • Apply deep learning to other domains like language modeling, sentiment analysis, and machine translation  In Detail  Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic. This book starts with a quick overview of the essential concepts of data science and machine learning which are required to get started with deep learning. It introduces you to Tensorflow, the most widely used machine learning library for training deep learning models. You will then work on your first deep learning problem by training a deep feed-forward neural network for digit classification, and move on to tackle other real-world problems in computer vision, language processing, sentiment analysis, and more. Advanced deep learning models such as generative adversarial networks and their applications are also covered in this book. By the end of this book, you will have a solid understanding of all the essential concepts in deep learning. With the help of the examples and code provided in this book, you will be equipped to train your own deep learning models with more confidence.  Style and approach  A step-by-step guide filled with multiple examples to help you get started with data science and deep learning.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52148475789585,"sku":"NLS9781788399906","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53036952813841,"sku":"NIN9781788399906","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781788399906.jpg?v=1779270302"},{"product_id":"llms-in-enterprise-book-ahmed-menshawy-9781836203070","title":"LLMs in Enterprise","description":"Integrate large language models into your enterprise applications with advanced strategies that drive transformation  Key Features  Explore design patterns for applying LLMs to solve real-world enterprise problems Learn strategies for scaling and deploying LLMs in complex environments Get more relevant results and improve performance by fine-tuning and optimizing LLMs Purchase of the print or Kindle book includes a free PDF eBook  Book DescriptionThe integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations. LLMs in Enterprise is your practical guide to bringing these capabilities into real-world business contexts. It demystifies the complexities of LLM deployment and provides a structured approach for enhancing decision-making and operational efficiency with AI. Starting with an introduction to the foundational concepts, the book swiftly moves on to hands-on applications focusing on real-world challenges and solutions. You’ll master data strategies and explore design patterns that streamline the optimization and deployment of LLMs in enterprise environments. From fine-tuning techniques to advanced inferencing patterns, the book equips you with a toolkit for solving complex challenges and driving AI-led innovation in business processes. By the end of this book, you’ll have a solid grasp of key LLM design patterns and how to apply them to enhance the performance and scalability of your generative AI solutions.What you will learn  Apply design patterns to integrate LLMs into enterprise applications for efficiency and scalability  Overcome common challenges in scaling and deploying LLMs  Use fine-tuning techniques and RAG approaches to enhance LLM efficiency Stay ahead of the curve with insights into emerging trends and advancements, including multimodality Optimize LLM performance through customized contextual models, advanced inferencing engines, and evaluation patterns Ensure fairness, transparency, and accountability in AI applications  Who this book is forThis book is designed for a diverse group of professionals looking to understand and implement advanced design patterns for LLMs in their enterprise applications, including AI and ML researchers exploring practical applications of LLMs, data scientists and ML engineers designing and implementing large-scale GenAI solutions, enterprise architects and technical leaders who oversee the integration of AI technologies into business processes, and software developers creating scalable GenAI-powered applications.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52476885205265,"sku":"NLS9781836203070","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52725108539665,"sku":"NIN9781836203070","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781836203070.jpg?v=1759844755"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-ahmed-menshawy.oembed","provider":"World of Books ","version":"1.0","type":"link"}