Neural Networks and Nebbiolo: Artificial Intelligence for Wine
by Shengli Hu
- Length: 508 pages
- Edition: 1
- Language: English
- Publisher: Ciel d'Avril
- Publication Date: 2021-09-23
- ISBN-10: B09FSZ246S
- ISBN-13: 9780578959146
- Sales Rank: #6863349 (See Top 100 Books)
This book is a proof of concept for how artificial intelligence could, and should be applied to each and every aspect of the wine industry from vine to wine, to assist wine professionals in improving their professional skills, productivity, and efficiency, to change the wine industry for the better, and ultimately enrich wine consumers’ experiences. We ask, answer, illustrate, and demonstrate the solutions to a diverse range of questions relevant to wine professionals and enthusiasts, including but not limited to:
- How could AI be leveraged for improving viticulture such as vineyard management and natural disaster response?
- What are the essential components and techniques to enable speech assistants like Alexa or Google Home to answer any wine-related questions?
- How could AI automatically generate reasonable wine pairing suggestions, whether it be with food, music, or art?
- How could AI help flying winemakers and globe-trotting wine professionals optimize their lifelong wine experiences?
- How could AI techniques tailor and optimize for each wine taster the best blind tasting strategies based on personal strengths and weaknesses?
- What factors could influence bidder behaviors at wine auctions, and which auction design elements play a role in auctioneers’ expected revenue from the auction? How could AI methods help design the optimal auction mechanism for the auctioneer?
- Are fine and rare wines worth considering of potential alternative assets relative to traditional assets for investment? How could AI improve wine collector’s investment portfolio management strategies?
- Could AI assist vine-growers, viticulturists, and geneticists in accurate identification of thousands of grape varieties around the globe?
- What makes a great wine list? How to leverage AI to automatically evaluate wine lists objectively? How to automatically generate wine lists according to themes, preferences, moods, and occasions?
- What are some AI techniques that would enable us to automatically generate wine maps according to any artistic styles?
- How could we scientifically pinpoint the causal effect of Terrior versus Vigneron on wine? What are some AI techniques that would enable us to know for sure if wine’s quality is caused by winemaking practices, vintage variations, climats or lieux-dits, etc.?
- What makes a cocktail creative? How could we automatically generate creative cocktail recipes with AI?
1 Introduction 1 1 Objectives of This Book 1 2 The Structure of This Book 1 3 A Preview of Chapters 1 4 Background Information 1 5 About the Author 2 Deductive Tasting 2 1 Summarization 2 2 Decision Tree 2 3 Multi-task Learning 3 Theory Knowledge 3 1 Knowledge Graph 3 2 Question Answering 4 Wine Pairing 4 1 Metric Learning 4 1 1 Loss Functions 4 1 2 Sample Selection Strategies 4 1 3 Training Regimes 4 2 Multi-modal Learning 4 3 Recommender Systems 5 Cartography 5 1 Image-to-image Translation 5 2 Neural Style Transfer 5 3 Font and Text Effects Style Transfer 5 4 Cartographic Style Transfer 5 5 Scene Text Detection and Recognition 6 World of Wine 6 1 Image Retrieval 6 2 Active Learning 6 3 Image Geolocalization 6 4 Fine-grained Image Classification 6 5 Object Discovery 7 Grape Varieties 7 1 Few-shot Learning 7 1 1 Data Augmentation 7 1 2 Meta Learning 7 2 Zero-shot Learning 7 3 Generalized Zero-shot Learning 7 4 Contextual Embeddings and Language Models 7 5 Fine-grained Visual Categorization 8 Craft Cocktails 271 8 1 Recipe Generation 9 Wine Lists 9 1 Automatic Evaluation 9 2 Playlist Generation 10 Terrior 10 1 Causal Inference 10 1 1 Potential Outcomes Framework 10 1 2 Structural Causal Models Framework 10 2 Instrumental Variable 10 3 Matching 10 4 Doubly-robust methods 10 5 Causal-driven Representation Learning 10 6 Regression Discontinuity 11 Trust and Ethics 322 11 1 Deception Detection 11 2 Information Concealment Detection 12 Wine Auction 12 1 Auction Theory 12 2 Auction Learning 12 3 Behavioral Auction 12 4 Fraud and Misinformation Detection 13 From Vine To Wine 13 1 AI for Viticulture 13 2 AI for Climate and Sustainability 13 3 AI for Crisis Management 13 4 AI for Distribution and Logistics 14 Wine Investing 14 1 Determinants of Fine Wine Prices 14 2 Portfolio Management 14 2 1 Diversification effects 14 2 2 Frontier investments 14 3 Deep Learning for Portfolio Management 14 4 Natural Language Processing for Finance 15 References
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