Data science tips tricks von vance william (27 Ergebnisse)

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There is a popular joke that a data scientist is someone who knows more computer science than a statistician, and knows more statistics than a computer scientist. While to a large extent, this is true, becoming a good data scientist requires the mastery of not only these two key areas, but also some theories and models crucial to this field. However, this area has proven to be very difficult to understand. Data scientists get easily get fed up with the various theories and models they have to master to excel in the field.The growing rate of Data science today has made it a go-to area of computer studies. Data scientists are needed in virtually all fields and careers. Platforms like Facebook, Twitter, and even more professional site like LinkedIn are made effective by data scientists. The service of a data scientist is needed in professions such as business and finance organizations, banks, health care centers, and even law firms.This book provides a detailed explanation of the theories, algorithms, statistics, and analysis applicable to the domain of data science. It gives a step by step guide on how the various theories in data science are implemented. It explains in detail the difference between the two major types of regressions we have: linear and nonlinear regressions. Explanation on interesting areas like R programming, Auction, data extraction and analysis, algorithms, and many more are covered in detail.Data science entails the mastery of statistics applicable to the field. In this book, formulas for examining key areas, like handling data, analyzing data, and implementing data are provided.The book is recommended to all interested readers who aspire to stand out in the field of data science. …

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There is a popular joke that a data scientist is someone who knows more computer science than a statistician, and knows more statistics than a computer scientist. While to a large extent, this is true, becoming a good data scientist requires the mastery of not only these two key areas, but also some theories and models crucial to this field. However, this area has proven to be very difficult to understand. Data scientists get easily get fed up with the various theories and models they have to master to excel in the field.The growing rate of Data science today has made it a go-to area of computer studies. Data scientists are needed in virtually all fields and careers. Platforms like Facebook, Twitter, and even more professional site like LinkedIn are made effective by data scientists. The service of a data scientist is needed in professions such as business and finance organizations, banks, health care centers, and even law firms.This book provides a detailed explanation of the theories, algorithms, statistics, and analysis applicable to the domain of data science. It gives a step by step guide on how the various theories in data science are implemented. It explains in detail the difference between the two major types of regressions we have: linear and nonlinear regressions. Explanation on interesting areas like R programming, Auction, data extraction and analysis, algorithms, and many more are covered in detail.Data science entails the mastery of statistics applicable to the field. In this book, formulas for examining key areas, like handling data, analyzing data, and implementing data are provided.The book is recommended to all interested readers who aspire to stand out in the field of data science.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Complete 3 Book Series on Data ScienceBook 1This book will introduce you to the digital world. Data science is one of the most amazing and trending fields in the digital era. Data science is what makes us humans what we are today. Not limited to computer-driven technologies, this book will guide you to visualize the digital facts and connections of our brain with data science, how to draw conclusions from simple information, and how to develop patterns for understanding different solutions for a similar problem.Book 2Data scientists are needed in virtually all fields and careers. Platforms like Facebook, Twitter, and even more professional site like LinkedIn are made effective by data scientists. The service of a data scientist is needed in professions such as business and finance organizations, banks, health care centers, and even law firms.This book provides a detailed explanation of the theories, algorithms, statistics, and analysis applicable to the domain of data science. It gives a step by step guide on how the various theories in data science are implemented.Book 3Discover advanced methods and strategies to learn data science for business.When the concept 'data science' was incorporated into some basic business decision processes, it was, at some point, neglected. But with the recent technological advancement, this method of analytics can no longer be neglected in the various decision-making process of a business.The book introduces various methods and strategies that are essential to facilitate your learning path into data science and how it can be used for business decisions and organizational growth.…

Buch. Zustand: Neu. Data Science | Tips and Tricks to Learn Data Science Theories Effectively | William Vance | Buch | Data Science | Gebunden | Englisch | 2020 | Joiningthedotstv Limited | EAN 9781913597757 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …