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Author: Claire Hancock
Publisher: Insight Kids
ISBN: 9781608870721
Category : Lift-the-flap books
Languages : en
Pages : 0
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Book Description
In The Titanic Notebook, spectacular paper engineering brings to life the glory and the folly of one of the most iconic ships in maritime history. From flaps and fold outs to intricate 3-D cutaway models, readers can touch a lost world and explore for themselves the innermost workings of this great ship. Mingle with the 3,500 passengers and crew. Share the luxury of life aboard. Relive the moment when disaster strikes. Witness the extraordinary rediscovery. Complete with a 27-inch-long Titanic model to assemble, Titanic Notebook's fact-packed pages and imaginative paper engineering are a unique record of her story, from the fanfare of her launch to her final resting place.
Author: Claire Hancock
Publisher: Insight Kids
ISBN: 9781608870721
Category : Lift-the-flap books
Languages : en
Pages : 0
Get Book Here
Book Description
In The Titanic Notebook, spectacular paper engineering brings to life the glory and the folly of one of the most iconic ships in maritime history. From flaps and fold outs to intricate 3-D cutaway models, readers can touch a lost world and explore for themselves the innermost workings of this great ship. Mingle with the 3,500 passengers and crew. Share the luxury of life aboard. Relive the moment when disaster strikes. Witness the extraordinary rediscovery. Complete with a 27-inch-long Titanic model to assemble, Titanic Notebook's fact-packed pages and imaginative paper engineering are a unique record of her story, from the fanfare of her launch to her final resting place.
Author: Jennifer Hooper McCarty
Publisher: Kensington Books
ISBN: 9780806528960
Category : Social Science
Languages : en
Pages : 276
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Book Description
Using the same methodology employed by forensic scientists, researchers Jennifer Hooper McCarty and Tim Foecke have applied new tools to the century-old mystery of what sank the Titanic. By analysing how the Titanic was designed and constructed, what vulnerabilities were overlooked and how this marvel of modern engineering may have been a disaster waiting to happen, they build a compelling new scenario with shattering impact.
Author: Matt Harrison
Publisher: "O'Reilly Media, Inc."
ISBN: 149204749X
Category : Computers
Languages : en
Pages : 230
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Book Description
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
Author: Manav Sehgal
Publisher:
ISBN: 9781520545318
Category :
Languages : en
Pages : 281
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Book Description
The field of data science, big data, machine learning, and artificial intelligence is exciting and complex at the same time. Data science is also rapidly growing with new tools, technologies, algorithms, datasets, and use cases. For a beginner in this field, the learning curve can be fairly daunting. This is where this book helps. The data science solutions book provides a repeatable, robust, and reliable framework to apply the right-fit workflows, strategies, tools, APIs, and domain for your data science projects. This book takes a solutions focused approach to data science. Each chapter meets an end-to-end objective of solving for data science workflow or technology requirements. At the end of each chapter you either complete a data science tools pipeline or write a fully functional coding project meeting your data science workflow requirements. SEVEN STAGES OF DATA SCIENCE SOLUTIONS WORKFLOW Every chapter in this book will go through one or more of these seven stages of data science solutions workflow. STAGE 1: Question. Problem. Solution. Before starting a data science project we must ask relevant questions specific to our project domain and datasets. We may answer or solve these during the course of our project. Think of these questions-solutions as the key requirements for our data science project. Here are some templates that can be used to frame questions for our data science projects. Can we classify an entity based on given features if our data science model is trained on certain number of samples with similar features related to specific classes?Do the samples, in a given dataset, cluster in specific classes based on similar or correlated features?Can our machine learning model recognise and classify new inputs based on prior training on a sample of similar inputs?STAGE 2: Acquire. Search. Create. Catalog.This stage involves data acquisition strategies including searching for datasets on popular data sources or internally within your organisation. We may also create a dataset based on external or internal data sources. The acquire stage may feedback to the question stage, refining our problem and solution definition based on the constraints and characteristics of the acquired datasets. STAGE 3: Wrangle. Prepare. Cleanse.The data wrangle phase prepares and cleanses our datasets for our project goals. This workflow stage starts by importing a dataset, exploring the dataset for its features and available samples, preparing the dataset using appropriate data types and data structures, and optionally cleansing the data set for creating model training and solution testing samples. The wrangle stage may circle back to the acquire stage to identify complementary datasets to combine and complete the existing dataset. STAGE 4: Analyse. Patterns. Explore.The analyse phase explores the given datasets to determine patterns, correlations, classification, and nature of the dataset. This helps determine choice of model algorithms and strategies that may work best on the dataset. The analyse stage may also visualize the dataset to determine such patterns. STAGE 5: Model. Predict. Solve.The model stage uses prediction and solution algorithms to train on a given dataset and apply this training to solve for a given problem. STAGE 6: Visualize. Report. Present.The visualization stage can help data wrangling, analysis, and modeling stages. Data can be visualized using charts and plots suiting the characteristics of the dataset and the desired results.Visualization stage may also provide the inputs for the supply stage.STAGE 7: Supply. Products. Services.Once we are ready to monetize our data science solution or derive further return on investment from our projects, we need to think about distribution and data supply chain. This stage circles back to the acquisition stage. In fact we are acquiring data from someone else's data supply chain.
Author: Lauren Tarshis
Publisher: Scholastic Inc.
ISBN: 0545362687
Category : Juvenile Fiction
Languages : en
Pages : 116
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Book Description
The most terrifying events in history are brought vividly to life in this New York Times bestselling series! Ten-year-old George Calder can't believe his luck -- he and his little sister, Phoebe, are on the famous Titanic, crossing the ocean with their Aunt Daisy. The ship is full of exciting places to explore, but when George ventures into the first class storage cabin, a terrible boom shakes the entire boat. Suddenly, water is everywhere, and George's life changes forever. Lauren Tarshis brings history's most exciting and terrifying events to life in this New York Times bestselling series. Readers will be transported by stories of amazing kids and how they survived!
Author: Ed W. Marsh
Publisher: Boxtree, Limited
ISBN: 9780752224046
Category : Titanic (Motion picture : 1997)
Languages : en
Pages : 178
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Book Description
Author: Gordon Korman
Publisher: Scholastic Paperbacks
ISBN: 9780545123310
Category : Juvenile Fiction
Languages : en
Pages : 0
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Book Description
Stories of four young children who traveled on the Titanic and experienced all of the danger.
Author: Ted Reinstein
Publisher: Rowman & Littlefield
ISBN: 0762795387
Category : Travel
Languages : en
Pages : 205
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Book Description
Looking to buy some medieval armour? In the mood for an orchestra of typewriters? Perhaps you’d like to sift through handcrafted cashmere scarves while chatting up Indiana Jones’ lovely co-star? Know where to find America’s oldest baseball diamond, New England’s smallest town, or Grover Cleveland’s impossibly-young (and spitting-image) grandson (think about it)? New England Notebook offers the answers to these questions and more in a blend of the region’s most singular and noteworthy nuggets of history, people, and culture. This is a collection of colorful facts, stories and anecdotes, plus a savvy selection of unusual eats, goods, services and events. Whether it’s finding a little-known museum of Titanic memorabilia, an underwater escape artist, or the smallest bar, both casual readers and dedicated lovers of all things New England will share a hearty—and humorous—sense of, “Who knew?” Written by a native New Englander and WCVB on-air reporter, New England Notebook goes beyond the merely curious, though it offers plenty of intriguing tidbits, unusual museums, fascinating characters, and many pieces of trivia and little-known facts.
Author: Aurélien Géron
Publisher: "O'Reilly Media, Inc."
ISBN: 149203259X
Category : Computers
Languages : en
Pages : 851
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Book Description
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Author: William H. Keith
Publisher: Brady
ISBN: 9781566866576
Category : Games
Languages : en
Pages : 192
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Book Description
You are a British secret agent aboard the doomed luxury liner. Your job is to alter history and save the Titanic. Using logic and a little detective work (and this guide), you may just complete your mission.
