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After 3 years behind the scene, strategically navigating a highly capital intensive publishing and media business from barely no budget to a global phenomena, Emeka Anyanwu, has put together this masterpiece where he shares his experiences as a foot soldier, bringing to attention one of the most important driving tools of a successful business.
Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.
Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business users Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a coherent framework Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R Shows readers how to visualize results in static and interactive reports Supplementary materials includes PDF slides based on the book’s content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.
R is for: Relationships…Redundancy…Reunions…Romance…Redemption School reunions can be tough, nobody wants to look like a failure. But when you lose your girlfriend (to an odious, but very good looking kick-boxer) and then your IT job (with the world’s worst Stationary supplier) in quick succession, a school reunion is the last thing you need. Press-ganged by his flatmates, Craig and Melissa, and with the sage-like advice of ‘Dirty’ Barry (A guy whose chat-up line is Go ahead, make my day!), Evan takes the plunge into the world of online dating and job hunting. But with an almost Kamikaze approach to romance, and each date and job interview an even bigger disaster than the last, can Evan crack the code of online dating and bag that elusive IT job? Can Evan stop the Big R becoming the Big Argh!? The Big R asks the questions: What defines failure? Is there really such a thing as a soul mate? And should you really take dating advice from a man called ‘Dirty’ Barry?
God-Daddy provided a story vividly told of a controversial yet successful businessman and the protective, surrogate father-like relationship he has with two young ladies. It was a narrative through the eyes of these young ladies, their fortunate connection and sometimes trials of that connection to ndash; God-Daddy. From the Bahamian-American community of Port Salerno, Florida it was an adventure through Florida and the Bahamas. That was then, this is now. The Bloodline of the Business provides us with two offerings in one: God-Daddy: the Sequel and the Book of Michael.In God-Daddy: the Sequel, Janine and Falana are now college graduates and still close to their God-Daddy; a relationship that is now two-fold because they are employees of his corporation. God-Daddy, now semi-retired, is ecstatic with them being a part of his continued business success. He is now faced with the challenge of ensuring the corporation he started continues to be successful. That is not without obstacles. God-Daddy: the Sequel is told from the view of Janine, Falana, family members and God-Daddy himself. This chapter in the ongoing saga goes further into Bahamian culture and its influences of Bahamian-Americans. The question that has been asked since the novel God-Daddy has been released is exactly who is God-Daddy? How did he become the man that he is now? What influenced his character and were there certain experiences that caused him to be so driven? the questions are finally answered in: the Book of Michael. The Book of Michael intimately explain God-Daddy going back generations to explore his family influences to his person. It depicts his life experiences that perfected his discipline of focus in business and love for his heritage. The Book of Michael brings together God-Daddy and God-Daddy: the Sequel by describing life before and after the previous two offerings.

Hearings

United States. Congress. Senate. Committee on Labor and Public Welfare

Published: 1965

Total Pages: 1634


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Creating Good Work is a practical guide book, that recounts the stories of some of the most successful social entrepreneurial programs operating today, with real life examples of and how they overcame both physical and societal barriers to create a lasting impact on the world they encounter.