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Big Data and Machine Learning in Quantitative Investment
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.
Diversity, Inc.
One of Time Magazine's Must-Read Books of 2019 An award-winning journalist shows how workplace diversity initiatives have turned into a profoundly misguided industry--and have done little to bring equality to America's major industries and institutions. Diversity has become the new buzzword, championed by elite institutions from academia to Hollywood to corporate America. In an effort to ensure their organizations represent the racial and ethnic makeup of the country, industry and foundation leaders have pledged hundreds of millions of dollars to commission studies, launch training sessions, and hire consultants and diversity czars. But is it working? In Diversity, Inc., award-winning journa...
Casey Stengel
The definitive biography of one of baseball's most enduring and influential characters, from New York Times bestselling author and baseball writer Marty Appel. As a player, Charles Dillon "Casey" Stengel's contemporaries included Babe Ruth, Honus Wagner, and Christy Mathewson . . . and he was the only person in history to wear the uniforms of all four New York teams: the Dodgers, Giants, Yankees, and Mets. As a legendary manager, he formed indelible, complicated relationships with Yogi Berra, Joe DiMaggio, Mickey Mantle, and Billy Martin. For more than five glorious decades, Stengel was the undisputed, quirky, hilarious, and beloved face of baseball--and along the way he revolutionized the r...
Greater Gotham
In this utterly immersive volume, Mike Wallace captures the swings of prosperity and downturn, from the 1898 skyscraper-driven boom to the Bankers' Panic of 1907, the labor upheaval, and violent repression during and after the First World War. Here is New York on a whole new scale, moving from national to global prominence -- an urban dynamo driven by restless ambition, boundless energy, immigrant dreams, and Wall Street greed. Within the first two decades of the twentieth century, a newly consolidated New York grew exponentially. The city exploded into the air, with skyscrapers jostling for prominence, and dove deep into the bedrock where massive underground networks of subways, water pipes, and electrical conduits sprawled beneath the city to serve a surging population of New Yorkers from all walks of life. New York was transformed in these two decades as the world's second-largest city and now its financial capital, thriving and sustained by the city's seemingly unlimited potential. Wallace's new book matches its predecessor in pure page-turning appeal and takes America's greatest city to new heights.
Dvorak's Prophecy: And the Vexed Fate of Black Classical Music
A Kirkus Reviews Best Nonfiction Book of 2021 A provocative interpretation of why classical music in America "stayed white"—how it got to be that way and what can be done about it. In 1893 the composer Antonín Dvorák prophesied a “great and noble school” of American classical music based on the “negro melodies” he had excitedly discovered since arriving in the United States a year before. But while Black music would foster popular genres known the world over, it never gained a foothold in the concert hall. Black composers found few opportunities to have their works performed, and white composers mainly rejected Dvorák’s lead. Joseph Horowitz ranges throughout American cultural...
The Complete Guide to Asperger's Syndrome
A guide to Asperger's syndrome describes what it is and how it is diagnosed, along with information on such topics as bullying, emotions, language, movement, cognitive ability, and long-term relationships.
Frank Sinatra Has a Cold
Gay Talese is the father of American New Journalism, who transformed traditional reportage with his vivid scene-setting, sharp observation and rich storytelling. His 1966 piece for Esquire, one of the most celebrated magazine articles ever published, describes a morose Frank Sinatra silently nursing a glass of bourbon, struck down with a cold and unable to sing, like 'Picasso without paint, Ferrari without fuel - only worse'. The other writings in this selection include a description of a meeting between two legends, Fidel Castro and Muhammad Ali; a brilliantly witty dissection of the offices of Vogue magazine; an account of travelling to Ireland with hellraiser Peter O'Toole; and a profile of fading baseball star Joe DiMaggio, which turns into a moving, immaculately-crafted meditation on celebrity.
Carrie Fisher: A Life on the Edge
A remarkably candid biography of the remarkably candid—and brilliant—Carrie Fisher In her 2008 bestseller, Girls Like Us, Sheila Weller—with heart and a profound feeling for the times—gave us a surprisingly intimate portrait of three icons: Carole King, Joni Mitchell, and Carly Simon. Now she turns her focus to one of the most loved, brilliant, and iconoclastic women of our time: the actress, writer, daughter, and mother Carrie Fisher. Weller traces Fisher’s life from her Hollywood royalty roots to her untimely and shattering death after Christmas 2016. Her mother was the spunky and adorable Debbie Reynolds; her father, the heartthrob crooner Eddie Fisher. When Eddie ran off with E...
Big Data and Machine Learning in Quantitative Investment
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.
The Big She-Bang
One of O Magazine’s Best Books of Fall 2020 One of Comics Beat’s Most Anticipated Graphic Novels for Fall 2020 Writing as if in a fever dream, iconic New Yorker cartoonist Marisa Acocella channels God the Mother and all of the goddesses, saints and sinners, and real-life women from our storied past in this epic retelling that begins with the Big She-Bang. The rest, as they say, is herstory. Hilarious, profound, and (at times) profane, The Big She-Bang is virtuosic storytelling in which the rules are bent back to where they should have started in the first place. It is abundantly clear that the past has been recorded in big books “written by a bunch of men about a bunch of men.” Now A...
