Adnan Hashmi – författare
Visar alla böcker från författaren Adnan Hashmi. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
Häftad, Engelska, 2019
394 kr
Skickas inom 10-15 vardagar
Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries.Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIsApply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK)Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scaleWho This Book Is ForSoftware engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
E-bok
Engelska, 2019538 kr
Läs direkt efter köp
Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries.Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. What You Will LearnBuild production-ready solutions using Microsoft Cognitive Services APIsApply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK)Solve enterprise problems in natural language processing and computer vision Discover the machine learning development life cycle – from formal problem definition to deployment at scaleWho This Book Is ForSoftware engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems.
Häftad, Engelska, 2026
758 kr
Skickas
This book is a comprehensive guide for data professionals and AI practitioners looking to build modern, end-to-end AI and analytics solutions using Microsoft’s powerful Fabric platform. Whether you're launching a new enterprise data strategy or modernizing an existing pipeline, this book offers a practical roadmap to implementing scalable, cloud-native AI in your organization.The book begins by explaining the role of Microsoft Fabric in the analytics framework and lays out a clear foundation for building AI-driven solutions. Readers are introduced to Fabric’s component architecture—Administration, Bicep, Capacity, Data-stores, Experiences, and Flows—along with practical steps to build ingestion pipelines, engineer data, and deploy machine learning models. Subsequent chapters walk through real-world use cases, showing how Fabric simplifies complex workflows by unifying capabilities like data ingestion (OneLake, Mirroring, Shortcuts), serverless Spark-based AI Notebooks, and model training pipelines. Readers will also learn how to create and manage AI Functions and Skills, integrate AI directly into Power BI reports, and harness the Semantic Link library for programmatic data access. The book concludes by exploring how to apply MLOps and LLMOps principles within Microsoft Fabric, enabling continuous delivery and governance for enterprise AI applications. With a strong focus on both the technical architecture and business outcomes, this book empowers readers to turn Fabric’s unified platform into real, enterprise-grade AI solutions.Whether you're a data engineer, AI developer, or analytics leader, this guide will help you unlock the full potential of Microsoft Fabric in your enterprise AI journey.What you will learn:How to build end-to-end AI and analytics solutions using Microsoft Fabric’s unified SaaS platform. Understand key components of Fabric like ingestion, data engineering, machine learning, and semantic access.How to create and manage AI notebooks, functions, and skills using serverless Spark and Python-based tools.How to integrate AI seamlessly into Power BI reports and dashboards with Direct Lake and Fabric F capacity.Who this book is for:This book is intended for BI professionals, architects, and decision-makers building AI solutions with Microsoft Fabric. It assumes basic knowledge of BI and analytics. Data engineers and developers will learn how to streamline AI and ML workflows using Fabric’s unified platform.