Data science tips tricks de william vance (33 resultados)

Condición: New.

Paperback or Softback. Condición: New. Data Science: Tips and Tricks to Learn Data Science Theories Effectively. Book.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardback or Cased Book. Condición: New. Data Science: Tips and Tricks to Learn Data Science Theories Effectively. Book.

Condición: New.

Condición: New.

Paperback or Softback. Condición: New. Data Science: 3 Book in 1 - Beginner's Guide to Learn the Realms Of Data Science + Tips and Tricks to Learn The Theories Effectively. Book.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 224 pages. 9.02x5.98x0.47 inches. In Stock.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: Brand New. 224 pages. 6.00x0.56x9.00 inches. In Stock.

Condición: New. In English.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

PF. Condición: New.

Paperback. Condición: Brand New. 526 pages. 9.02x5.98x1.06 inches. In Stock.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 467.

Condición: New. Print on Demand pp. 526.

Condición: New. Print on Demand pp. 526.

Condición: New. PRINT ON DEMAND pp. 526.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condición: 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. Condición: 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. Condición: Neu. Data Science | Tips and Tricks to Learn Data Science Theories Effectively | William Vance | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Joiningthedotstv Limited | EAN 9781913597252 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…