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Practical Data Science Cookbook
  • Language: en
  • Pages: 434

Practical Data Science Cookbook

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Python Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning ...

Corporate Authorship and Ownership in Pixar-Disney's Toy Story Trilogy
  • Language: en
  • Pages: 78
Analyzing the Analyzers
  • Language: en
  • Pages: 40

Analyzing the Analyzers

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists

Screen World
  • Language: en
  • Pages: 428

Screen World

(Screen World). Movie fans eagerly await each year's new edition of Screen World , the definitive record of the cinema since 1949. Volume 55 provides an illustrated listing of every American and foreign film released in the United States in 2003, all documented with more than 1,000 photographs. The 2004 edition of Screen World features such notable films as Peter Jackson's The Lord of the Rings: The Return of the King , which won all 11 Academy Awards it was nominated for, including Best Picture, tying a record; Clint Eastwood's Mystic River , which won Academy Awards for Best Actor Sean Penn and Best Supporting Actor Tim Robbins; Sofia Coppola's Lost in Translation , Academy Award-winner fo...

Patrick's Corner
  • Language: en

Patrick's Corner

None

An Interview with Latvian President Vaira Vike-Freiberga
  • Language: en
  • Pages: 2
Rooster
  • Language: en
  • Pages: 306

Rooster

  • Type: Book
  • -
  • Published: 2013-01
  • -
  • Publisher: AuthorHouse

CORRUPTION IS EVERYWHERE Near San Francisco, a small town is riddled with bad cops and cocaine dealers... MILL VALLEY sits nestled in the shadow of the Sleeping Princess Mountain in southern Marin County and, at first glance, appears to be a quiet, tranquil little town populated by rock stars, writers, and artists. But a closer look reveals a dark side: corruption has reached the top levels of the police department, and white powder cocaine is the locals' drug of choice. Sean Patrick Murphy, nicknamed "Rooster" by his supervising sergeant, Dante John Castigari, is a burnt-out Irish cop on a rampage on San Francisco's skid row. He carries a Badge, Gun, and Heartache, but all he ever wanted wa...

The Elephants Graveyard
  • Language: en
  • Pages: 276

The Elephants Graveyard

  • Type: Book
  • -
  • Published: 2014-11-22
  • -
  • Publisher: Author House

The Elephants Graveyard is like an epitaph without a tombstone.--Officer Kevin Martin, SFPD The Elephants Graveyard is the city's skid row--the Tenderloin District of San Francisco. It's a purgatory for the junkies and shadowy characters that frequent the dark alleys, bars, and fleabag hotels on the dark side of the city by the bay. But to some, it's a sacred place to hide out, to fall off the face of God's green earth, and never be found. And like the old African elephants who journeyed to a secret place to die, Rooster journeyed into the Tenderloin, and his bones will never be found. Sean Patrick Murphy walked into the Mill Valley Police Department for the first time back in 1971. Things w...

Analyzing the Analyzers
  • Language: en
  • Pages: 40

Analyzing the Analyzers

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists

Practical Data Science Cookbook - Second Edition
  • Language: en
  • Pages: 458

Practical Data Science Cookbook - Second Edition

  • Type: Book
  • -
  • Published: 2017-04-28
  • -
  • Publisher: Unknown

89 hands-on recipes to help you complete real-world data science projects in R and PythonAbout This Book* Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data* Get beyond the theory and implement real-world projects in data science using R and Python* Easy-to-follow recipes will help you understand and implement the numerical computing conceptsWho This Book Is ForIf you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learn...