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1. |
Record Nr. |
UNINA9910338004003321 |
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Autore |
Masood Adnan |
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Titolo |
Cognitive computing recipes : artificial intelligence solutions using Microsoft cognitive services and Tensorflow / / Adnan Masood and Adnan Hashmi ; foreword by Matt Winkler |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress Media, , [2019] |
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ISBN |
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9781484241066 |
1484241061 |
1484241053 |
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Descrizione fisica |
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1 online resource (xxvi, 417 pages) : illustrations |
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Disciplina |
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Soggetti |
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Soft computing |
Machine learning |
Artificial intelligence |
Microsoft software |
Microsoft .NET Framework |
Open source software |
Computer programming |
Artificial Intelligence |
Microsoft and .NET |
Open Source |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Chapter 1: Democratization of AI using Cognitive Services -- Chapter 2: Building Conversational Interfaces -- Chapter 3: Seeing is Believing – Custom Vision -- Chapter 4: Text Analytics – The Dark Data Frontier -- Chapter 5: Cognitive RPA – Automate This ! -- Chapter 6: Knowledge Management and Intelligent Search -- Chapter 7: Predictive Analytics in Operations -- Chapter 8: AI use cases in Industry. |
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Sommario/riassunto |
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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 |
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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. You will: Build production-ready solutions using Microsoft Cognitive Services APIs Apply 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 scale. |
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2. |
Record Nr. |
UNINA9911020248703321 |
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Autore |
Duncan Richard <1960-> |
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Titolo |
The new depression : the breakdown of the paper money economy / / Richard Duncan |
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Pubbl/distr/stampa |
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Singapore ; ; Hoboken, N.J., : John Wiley & Sons Singapore Pte. Ltd., 2012 |
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ISBN |
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9786613621528 |
9781119199199 |
1119199190 |
9781118157824 |
1118157826 |
9781280591693 |
1280591692 |
9781118157800 |
111815780X |
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Descrizione fisica |
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1 online resource (191 p.) |
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Disciplina |
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Soggetti |
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Financial crises |
Financial crises - United States |
Depressions |
Depressions - 21st century |
Economic history - 20th century |
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Monetary policy |
Monetary policy - United States |
United States Economic conditions 21st century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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How credit slipped its leash -- The global money glut -- Creditopia -- The quantity theory of credit -- The policy response: perpetuating the boom -- Where are we now? -- How it plays out -- Disaster scenarios -- The policy options -- Fire and ice, inflation and deflation -- Conclusion. |
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Sommario/riassunto |
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Introduces a new theoretical construct, The Quantity Theory of Credit, discusses how paper money creation is the only thing keeping the global economy from collapse, and provides practical advice for the coming instability. |
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