This eBook features the unabridged text of ‘The Old Wives’ Tale by Arnold Bennett - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of Arnold Bennett’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Bennett includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘The Old Wives’ Tale by Arnold Bennett - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Bennett’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

This eBook features the unabridged text of ‘The Magic of Oz by L. Frank Baum - Delphi Classics (Illustrated)’ from the bestselling edition of ‘The Complete Works of L. Frank Baum’. Having established their name as the leading publisher of classic literature and art, Delphi Classics produce publications that are individually crafted with superior formatting, while introducing many rare texts for the first time in digital print. The Delphi Classics edition of Baum includes original annotations and illustrations relating to the life and works of the author, as well as individual tables of contents, allowing you to navigate eBooks quickly and easily. eBook features: * The complete unabridged text of ‘The Magic of Oz by L. Frank Baum - Delphi Classics (Illustrated)’ * Beautifully illustrated with images related to Baum’s works * Individual contents table, allowing easy navigation around the eBook * Excellent formatting of the text Please visit www.delphiclassics.com to learn more about our wide range of titles

The Art of the Short Story: 100 Classic Masterpieces

Gemini Rules Capricorn: Signs of Love #3.5

Chase Your Dreams Never Give Up

Disarmed: an Edgar Rowdey Cape Cod story

This book-collection file includes books of Mark Twain's speeches and letters, plus 3 book-length collections of essays: What is Man? Sketches New and Old, and Christian Science. It also includes the following short collections and individual essays: Editorial Wild Oats, Essays on Paul Bourget, Fenimore Cooper's Literary Offences, and In Defence of Harriet Shelley. According to Wikipedia: "Samuel Langhorne Clemens (1835 – 1910), better known by the pen name Mark Twain, was an American humorist, satirist, lecturer and writer. Twain is most noted for his novels Adventures of Huckleberry Finn, which has since been called the Great American Novel, and The Adventures of Tom Sawyer. He is also known for his quotations. During his lifetime, Twain became a friend to presidents, artists, industrialists and European royalty. Twain enjoyed immense public popularity, and his keen wit and incisive satire earned him praise from both critics and peers. American author William Faulkner called Twain "the father of American literature."

In Search of Lost Time: Or “? la Recherche du temps perdu”

Social Media Marketing

上級日本語：1500単語?漢字(リスニング?リーディング対応、JLPTN2レベル)1秒記憶シリーズ

初級日本語：1500単語?漢字(リスニング?リーディング対応、JLPTN5～4)1秒記憶シリーズ

Japanese Folklore The Legend of Eternal Life

J'APE: Just Another Publicity

Martin & James Visit the Witch: a Martin & James Cozy Spy Thriller

The Flower Girl

Python: Beginner's Guide to Programming Code with Python

Crochet Beautiful Patterns, Stitches, Braids, & Blankets For Beginners

Master Key System

Cheyenne and the Mermaids

"Many rich and successful men and women," declares the author of this helpful book, "have no more brains or energy than anyone else. They are usually driven to success. Frequently they are so helpless they can't stop moving ahead even when they want to. Their money is made in spite of themselves!" Louis M. Grafe, who made his own fortune, lost it, and then went on to earn another fortune, presents an astonishingly simple formula for wealth and success. He has tested it in his own experience and has found that it has brought wealth not only to him but to many other people. Based on fundamental principles which you can find in your own copy of the Bible, this book demonstrates the existence and practical application of the Law of Success— the law which everyone who has ever made money or reached the top in their work has used, consciously or unconsciously. The formula can be followed by anyone, rich or poor, in almost any job or business, in any honest trade or profession. And it is so simple that you can learn all you need to know about it in three hours. Marry readers wonder, after reading this book, why they did not discover the formula for themselves, it is so amazingly right, so plainly practical and workable. GET RICH IN SPITE OF YOURSELF is one of the great inspirational books of our time. Read it now and you will find that you have never spent a more profitable three hours.?

Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial About This Book ? Process and analyze big data in a distributed and scalable way ? Write sophisticated Spark pipelines that incorporate elaborate extraction ? Build and use regression models to predict flight delays Who This Book Is For Are you a developer with a background in machine learning and statistics who is feeling limited by the current slow and “small data” machine learning tools? Then this is the book for you! In this book, you will create scalable machine learning applications to power a modern data-driven business using Spark. We assume that you already know the machine learning concepts and algorithms and have Spark up and running (whether on a cluster or locally) and have a basic knowledge of the various libraries contained in Spark. What You Will Learn ? Use Spark streams to cluster tweets online ? Run the PageRank algorithm to compute user influence ? Perform complex manipulation of DataFrames using Spark ? Define Spark pipelines to compose individual data transformations ? Utilize generated models for off-line/on-line prediction ? Transfer the learning from an ensemble to a simpler Neural Network ? Understand basic graph properties and important graph operations ? Use GraphFrames, an extension of DataFrames to graphs, to study graphs using an elegant query language ? Use K-means algorithm to cluster movie reviews dataset In Detail The purpose of machine learning is to build systems that learn from data. Being able to understand trends and patterns in complex data is critical to success; it is one of the key strategies to unlock growth in the challenging contemporary marketplace today. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. This book gives you access to transform data into actionable knowledge. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to detect the Higgs Boson particle in the huge amount of data produced by CERN particle collider and classify daily health activities using ensemble Methods for Multi-Class Classification. Next, you will solve a typical regression problem involving flight delay predictions and write sophisticated Spark pipelines. You will analyze Twitter data with help of the doc2vec algorithm and K-means clustering. Finally, you will build different pattern mining models using MLlib, perform complex manipulation of DataFrames using Spark and Spark SQL, and deploy your app in a Spark streaming environment. Style and approach This book takes a practical approach to help you get to grips with using Spark for analytics and to implement machine learning algorithms. We'll teach you about advanced applications of machine learning through illustrative examples. These examples will equip you to harness the potential of machine learning, through Spark, in a variety of enterprise-grade systems.