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Author: Yvonne Hume
Publisher: Formac Publishing Company Limited
ISBN: 145950111X
Category : Cooking
Languages : en
Pages : 100
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Book Description
Dishes selected from the Titanic's grand dining rooms, with the flair and style of another era
Author: Veronica Hinke
Publisher: Regnery History
ISBN: 1621577295
Category : History
Languages : en
Pages : 321
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Book Description
“Veronica Hinke has taken a story that we all know so well and interwoven delicious recipes that are historic and old, but classic and worthy of any modern-day table. She has unearthed a vibrant culinary subtext that often left me breathless and dreamy-eyed. She skillfully captures the magical avor of a fascinating era in our history. Two spatulas raised in adulation.” — CHEF ART SMITH, James Beard award winner, Top Chef Masters contestant, former personal chef to Oprah Winfrey April 14, 1912. It was an unforgettable night. In the last hours before the Titanic struck the iceberg, passengers in all classes were enjoying unprecedented luxuries. Innovations in food, drink, and de´cor made this voyage the apogee of Edwardian elegance. Veronica Hinke’s painstaking research and deft touch bring the Titanic’s tragic but eternally glamorous maiden voyage back to life. In addition to stirring accounts of individual tragedy and survival, The Last Night on the Titanic offers tried-and-true recipes, newly invented styles, and classic cocktails to reproduce a glittering world of sophistication at sea. Readers will experience: Recipes for Oysters a` la Russe, Chicken and Wild Mushroom Vol-au-Vents, and dozens of other scrumptious dishes for readers to recreate in their own kitchens A rare printed menu from the last first class dinner on the Titanic Drink recipes from John Jacob Astor IV’s luxury hotels, including the original Martini The true story of “The Unsinkable Molly Brown” An extraordinary eyewitness testimony to Captain Edward Smith’s final moments Intimate and captivating stories about select passengers—from millionaires to third class passengers.
Author: Yvonne Hume
Publisher: Formac Publishing Company Limited
ISBN: 145950111X
Category : Cooking
Languages : en
Pages : 100
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Book Description
Dishes selected from the Titanic's grand dining rooms, with the flair and style of another era
Author: Yvonne Hume
Publisher:
ISBN: 9781840334845
Category : Cooking
Languages : en
Pages : 140
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Book Description
Author: Rick Archbold
Publisher: Hyperion
ISBN:
Category : Cooking
Languages : en
Pages : 152
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Book Description
A cookbook designed to recreate the atmosphere of dining on the famous, doomed luxury liner serves up such recipes as lobster thermidor and poached salmon with dilled mousseline sauce and cucumber.
Author: Veronica Hinke
Publisher: Simon and Schuster
ISBN: 1647228638
Category : Cooking
Languages : en
Pages : 128
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Book Description
Celebrate the elegance and history of the classic film with food, cocktails, games, trivia, and more. Decades after its box office debut, James Cameron’s legendary film Titanic continues to captivate audiences with its stunning visual-effects, sophisticated cinematography, and tragic love story. Titanic: The Official Cookbook helps readers recreate the opulence and elegance aboard the RMS Titanic. This collection features luxurious, Titanic-era recipes for appetizers, entrees, desserts, and cocktails, as well as sections on Traditional Edwardian Table Settings, Dos and Donts for Edwardian Entertaining, Parlor Games, and Titanic Trivia. 40 RECIPES: Features lavish and delicious recipes for appetizers, entrees, desserts, and cocktails that might have been served aboard the RMS Titanic. ELEGANT PARTY IDEAS: For entertaining, this collection includes guidance for throwing an Edwardian dinner party, and recipes for an upscale movie night that reflect the opulence and sophistication seen in the Titanic film. FILM STILLS THROUGHOUT: Fans of Titanic will love reminiscing over their favorite film, as stills of iconic scenes are featured throughout the book.
Author: Veronica Hinke
Publisher: Simon and Schuster
ISBN: 1647228573
Category : Cooking
Languages : en
Pages : 128
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Book Description
Celebrate the elegance and history of the classic film with food, cocktails, games, trivia, and more. Decades after its box office debut, James Cameron’s legendary film Titanic continues to captivate audiences with its stunning visual-effects, sophisticated cinematography, and tragic love story. Titanic: The Official Cookbook helps readers recreate the opulence and elegance aboard the RMS Titanic. This collection features luxurious, Titanic-era recipes for appetizers, entrees, desserts, and cocktails, as well as sections on Traditional Edwardian Table Settings, Dos and Donts for Edwardian Entertaining, Parlor Games, and Titanic Trivia. 40 RECIPES: Features lavish and delicious recipes for appetizers, entrees, desserts, and cocktails that might have been served aboard the RMS Titanic. ELEGANT PARTY IDEAS: For entertaining, this collection includes guidance for throwing an Edwardian dinner party, and recipes for an upscale movie night that reflect the opulence and sophistication seen in the Titanic film. FILM STILLS THROUGHOUT: Fans of Titanic will love reminiscing over their favorite film, as stills of iconic scenes are featured throughout the book.
Author: Vincent Vandenbussche
Publisher: Packt Publishing Ltd
ISBN: 1837639728
Category : Mathematics
Languages : en
Pages : 424
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Book Description
Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer vision and NLP techniques Book Description Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must. The Regularization Cookbook provides you with the appropriate tools and methods to handle any case, with ready-to-use working codes as well as theoretical explanations. After an introduction to regularization and methods to diagnose when to use it, you'll start implementing regularization techniques on linear models, such as linear and logistic regression, and tree-based models, such as random forest and gradient boosting. You'll then be introduced to specific regularization methods based on data, high cardinality features, and imbalanced datasets. In the last five chapters, you'll discover regularization for deep learning models. After reviewing general methods that apply to any type of neural network, you'll dive into more NLP-specific methods for RNNs and transformers, as well as using BERT or GPT-3. By the end, you'll explore regularization for computer vision, covering CNN specifics, along with the use of generative models such as stable diffusion and Dall-E. By the end of this book, you'll be armed with different regularization techniques to apply to your ML and DL models. What you will learn Diagnose overfitting and the need for regularization Regularize common linear models such as logistic regression Understand regularizing tree-based models such as XGBoos Uncover the secrets of structured data to regularize ML models Explore general techniques to regularize deep learning models Discover specific regularization techniques for NLP problems using transformers Understand the regularization in computer vision models and CNN architectures Apply cutting-edge computer vision regularization with generative models Who this book is for This book is for data scientists, machine learning engineers, and machine learning enthusiasts, looking to get hands-on knowledge to improve the performances of their models. Basic knowledge of Python is a prerequisite.
Author: Veronica Hinke
Publisher: Permuted Press
ISBN: 163758931X
Category : History
Languages : en
Pages : 260
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Book Description
Sailing—and making history—on the cusp of Prohibition, the Titanic defined drinking and dining styles of the Edwardian era. Societal lines were distinctly drawn as never before. Laden with never-before-experienced luxuries in all three classes, the Titanic set an unprecedented standard and created a time capsule that continues to draw intense interest even 110 years later. Veronica Hinke has curated a culinary narrative that informs and provides new and thrilling insights on what passengers and crew experienced. The Last Night on the Titanic is based on carefully researched and studied historic news articles, menus, and books, as well as dozens of intimate interviews with experts and family members of passengers and crew. Recipes related to moving stories of tragedy and survival are interspersed throughout and easy for readers to make at home, including: · Recipes for English spring pea soufflé, apple meringue, and more mouthwatering Titanic foods · Drink recipes from the hotels that first class passenger John Jacob Astor IV established that still carry on today—including the original martini · True and accurate accounts of the real Margaret “Unsinkable Molly” Brown · Letters from passengers that were received days after the sinking, including one to legendary journalist HV Kaltenborn. · True stories from his family members about what really happened to Chief Baker Charles Joughin “We all think about what our last meal would be. On her maiden voyage, guests on the world’s most famous passenger ship, the RMS Titanic, were dining on the finest foods prepared by the best French chefs and toasting with the best champagne, not knowing that it would be their last meal. Veronica Hinke has taken a story that we all know so well and interwoven delicious recipes that, while historic and old, are classic and worthy of any modern-day table. She has unearthed a vibrant culinary subtext that often left me breathless and dreamy-eyed. She skillfully captures the magical flavor of a fascinating era in our history. Two spatulas raised in adulation.” —Chef Art Smith, former personal chef to Oprah Winfrey “A rich and fascinating addition to Titanic literature. If a book can be compared to a soft, warm sweater, that’s exactly how I’d describe Veronica Hinke’s The Last Night on the Titanic. The reader will find the text on each page purled with anecdotes and personal details about the luxury liner’s passengers and crew and want to snuggle deeper into each story and recipe.” —Rick Archbold and Dana McCauley, co-authors, Last Dinner on the Titanic “Congratulations on a well-researched book!” —Yvonne Hume, Great-niece of Titanic First Violinist John (“Jock”) Hume
Author: AshishSingh Bhatia
Publisher: Packt Publishing Ltd
ISBN: 1787287807
Category : Computers
Languages : en
Pages : 564
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Book Description
Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This Book Apply R to simplify predictive modeling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Who This Book Is For This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful. What You Will Learn Create and inspect transaction datasets and perform association analysis with the Apriori algorithm Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm Compare differences between each regression method to discover how they solve problems Detect and impute missing values in air quality data Predict possible churn users with the classification approach Plot the autocorrelation function with time series analysis Use the Cox proportional hazards model for survival analysis Implement the clustering method to segment customer data Compress images with the dimension reduction method Incorporate R and Hadoop to solve machine learning problems on big data In Detail Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier. Style and approach This is an easy-to-follow guide packed with hands-on examples of machine learning tasks. Each topic includes step-by-step instructions on tackling difficulties faced when applying R to machine learning.
Author: Huage Chen
Publisher: Packt Publishing Ltd
ISBN: 1837633509
Category : Computers
Languages : en
Pages : 688
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Book Description
Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applications, analyze your data, and observe cloud-native applications Harness powerful machine learning and AI features to create data science and search applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLearn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.What you will learn Discover techniques for collecting data from diverse sources Visualize data and create dashboards using Kibana to extract business insights Explore machine learning, vector search, and AI capabilities of Elastic Stack Handle data transformation and data formatting Build search solutions from the ingested data Leverage data science tools for in-depth data exploration Monitor and manage your system with Elastic Stack Who this book is for This book is for Elastic Stack users, developers, observability practitioners, and data professionals ranging from beginner to expert level. If you’re a developer, you’ll benefit from the easy-to-follow recipes for using APIs and features to build powerful applications, and if you’re an observability practitioner, this book will help you with use cases covering APM, Kubernetes, and cloud monitoring. For data engineers and AI enthusiasts, the book covers dedicated recipes on vector search and machine learning. No prior knowledge of the Elastic Stack is required.
