Distilled Knowledge: The Science Behind Drinking's Greatest Myths, Legends, and Unanswered Questions PDF Download
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Author: Brian D. Hoefling
Publisher: WW Norton
ISBN: 0789260778
Category : Cooking
Languages : en
Pages : 179
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Book Description
Everyone has questions about drinking, but it can seem like every bartender (and bargoer) has different answers. Between the old wives' tales, half-truths, and whiskey-soaked conjectures, it's hard to know what to believe, until now. Armed with cutting-edge research and a barfly’s thirst for the truth, cocktail instructor Brian D. Hoefling tackles the most burning questions and longest-held myths surrounding that most ancient of human pastimes—with the science to either back them up or knock them down. From the ins and outs of aging to the chemistry of a beer head and the science behind your hangover, Distilled Knowledge provides a complete and comical education that will put an end to any barroom dispute, once and for all.
Author: Brian D. Hoefling
Publisher: WW Norton
ISBN: 0789260778
Category : Cooking
Languages : en
Pages : 179
Get Book Here
Book Description
Everyone has questions about drinking, but it can seem like every bartender (and bargoer) has different answers. Between the old wives' tales, half-truths, and whiskey-soaked conjectures, it's hard to know what to believe, until now. Armed with cutting-edge research and a barfly’s thirst for the truth, cocktail instructor Brian D. Hoefling tackles the most burning questions and longest-held myths surrounding that most ancient of human pastimes—with the science to either back them up or knock them down. From the ins and outs of aging to the chemistry of a beer head and the science behind your hangover, Distilled Knowledge provides a complete and comical education that will put an end to any barroom dispute, once and for all.
Author: Bruce T. Moran
Publisher: Harvard University Press
ISBN: 9780674014954
Category : Body, Mind & Spirit
Languages : en
Pages : 238
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Book Description
Alchemy can't be science--common sense tells us as much. But perhaps common sense is not the best measure of what science is, or was. In this book, Bruce Moran looks past contemporary assumptions and prejudices to determine what alchemists were actually doing in the context of early modern science. Examining the ways alchemy and chemistry were studied and practiced between 1400 and 1700, he shows how these approaches influenced their respective practitioners' ideas about nature and shaped their inquiries into the workings of the natural world. His work sets up a dialogue between what historians have usually presented as separate spheres; here we see how alchemists and early chemists exchanged ideas and methods and in fact shared a territory between their two disciplines. Distilling Knowledge suggests that scientific revolution may wear a different appearance in different cultural contexts. The metaphor of the Scientific Revolution, Moran argues, can be expanded to make sense of alchemy and other so-called pseudo-sciences--by including a new framework in which "process can count as an object, in which making leads to learning, and in which the messiness of conflict leads to discernment." Seen on its own terms, alchemy can stand within the bounds of demonstrative science.
Author: Yuxin Peng
Publisher: Springer Nature
ISBN: 3030606368
Category : Computers
Languages : en
Pages : 515
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Book Description
The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.
Author: Nuria Oliver
Publisher: Springer Nature
ISBN: 3030865231
Category : Computers
Languages : en
Pages : 857
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Book Description
The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
Author: Hans Offringa
Publisher: Artisan Books
ISBN: 1579657516
Category : Cooking
Languages : en
Pages : 321
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Book Description
A Field Guide to Whisky is a one-stop guide for all the information a whisky enthusiast needs. With the whisky market booming all over the world, now is a perfect time for a comprehensive guide to this popular brown spirit. What are the basic ingredients in all whiskies? How does it get its flavor? Which big-name brands truly deserve their reputation? What are the current whisky trends around the world? And who was Jack Daniel, anyway? This abundance of information is distilled(!) into 324 short entries covering basic whisky literacy, production methods, consumption tips, trends, trivia, geographical maps and lists of distilleries, whisky trails, bars, hotels, and festivals by an industry insider. Boasting 230 color photographs and a beautiful package to boot, A Field Guide to Whisky will make a whisky expert out of anyone.
Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
ISBN: 1643681370
Category : Computers
Languages : en
Pages : 482
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Book Description
Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
Author: Sudharsan Ravichandiran
Publisher: Packt Publishing Ltd
ISBN: 1838826238
Category : Computers
Languages : en
Pages : 340
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Book Description
Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers library Key FeaturesExplore the encoder and decoder of the transformer modelBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERTDiscover how to pre-train and fine-tune BERT models for several NLP tasksBook Description BERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results. This book is an introductory guide that will help you get to grips with Google's BERT architecture. With a detailed explanation of the transformer architecture, this book will help you understand how the transformer’s encoder and decoder work. You’ll explore the BERT architecture by learning how the BERT model is pre-trained and how to use pre-trained BERT for downstream tasks by fine-tuning it for NLP tasks such as sentiment analysis and text summarization with the Hugging Face transformers library. As you advance, you’ll learn about different variants of BERT such as ALBERT, RoBERTa, and ELECTRA, and look at SpanBERT, which is used for NLP tasks like question answering. You'll also cover simpler and faster BERT variants based on knowledge distillation such as DistilBERT and TinyBERT. The book takes you through MBERT, XLM, and XLM-R in detail and then introduces you to sentence-BERT, which is used for obtaining sentence representation. Finally, you'll discover domain-specific BERT models such as BioBERT and ClinicalBERT, and discover an interesting variant called VideoBERT. By the end of this BERT book, you’ll be well-versed with using BERT and its variants for performing practical NLP tasks. What you will learnUnderstand the transformer model from the ground upFind out how BERT works and pre-train it using masked language model (MLM) and next sentence prediction (NSP) tasksGet hands-on with BERT by learning to generate contextual word and sentence embeddingsFine-tune BERT for downstream tasksGet to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT modelsGet the hang of the BERT models based on knowledge distillationUnderstand cross-lingual models such as XLM and XLM-RExplore Sentence-BERT, VideoBERT, and BARTWho this book is for This book is for NLP professionals and data scientists looking to simplify NLP tasks to enable efficient language understanding using BERT. A basic understanding of NLP concepts and deep learning is required to get the best out of this book.
Author: Lewis Tunstall
Publisher: "O'Reilly Media, Inc."
ISBN: 1098103211
Category : Computers
Languages : en
Pages : 409
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Book Description
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
Author: Qingshan Liu
Publisher: Springer Nature
ISBN: 9819985439
Category : Computers
Languages : en
Pages : 526
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Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.
Author: Thomas A. Stewart
Publisher: Crown Currency
ISBN: 0307424189
Category : Business & Economics
Languages : en
Pages : 399
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Book Description
In Thomas A. Stewart’s bestselling first book, Intellectual Capital, he redefined the priorities of businesses around the world, demonstrating that the most important assets companies own today are often not tangible goods, equipment, financial capital, or market share, but the intangibles: patents, the knowledge of workers, and the information about customers and channels and past experience that a company has in its institutional memory. Now in his new book, The Wealth of Knowledge, Stewart--widely acknowledged as the world’s leading expert on working with intellectual capital in today’s knowledge economy--reveals how today’s companies are applying the concept of intellectual capital into day-to-day operations to dramatically increase their success in the marketplace. Arguing that companies can make untold millions of dollars by managing knowledge more effectively--and save millions more--Stewart offers executives and managers compelling accounts of how leading companies around the world are successfully tackling the practical issues involved in today’s knowledge economy. The heart of the book is a revolutionary 4-step preocess that shows how to put intellectual capital to work to improve performance and profitablity, as well as manage knowledge processes. He goes on to discuss how companies can better utilize their current assets and enhance their knowledge resources for the future. Questioning many of the assumptions that have ruled business in the twentieth century, he addresses such critical and fundamental issues as why companies exist, how they should be organized and how people should be compensated. With his customary fearlessness and foresight, he plunges into the thick of the controversial arena of measuring and accounting, as well-an increasingly difficult task when a corporation’s assets are intangible. The Wealth of Knowledge not only sets out the latest thinking in creating and managing knowledge assets, but provides a detailed course of action for corporations trying to navigate their way in the world of knowledge economy.
