Practical_Statistics_For_Data_Scientists_By_Peter_Bruce
Practical_Statistics_For_Data_Scientists_By_Peter_Bruce
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Practical Statistics For Data Scientists By Peter Bruce

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size

17.78 x 2.29 x 23.11 cm

Product Information

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers


Country Of Origin

India


About Author

Peter Bruce Is The Founder And Chief Academic Officer Of The Institute For Statistics Education At Statistics.Com, Which Offers About 80 Courses In Statistics And Analytics, Roughly Half Of Which Are Aimed At Data Scientists. He Has Authored Or Co-Authored Several Books In Statistics And Analytics, And He Earned His Bachelor'S Degree At Princeton, And Masters Degrees At Harvard And The University Of Maryland. Andrew Bruce, Principal Research Scientist At Amazon, Has Over 30 Years Of Experience In Statistics And Data Science In Academia, Government And Business. The Co-Author Of Applied Wavelet Analysis With S-Plus, He Earned His Bachelor'S Degree At Princeton, And Phd In Statistics At The University Of Washington. Eter Gedeck, Senior Data Scientist At Collaborative Drug Discovery, Specializes In The Development Of Machine Learning Algorithms To Predict Biological And Physicochemical Properties Of Drug Candidates. Co-Author Of Data Mining For Business Analytics, He Earned Phd'S In Chemistry From The University Of Erlangen-Nurnberg In Germany And Mathematics From Fernuniversitat Hagen, Germany


Author Name

Peter Bruce


Genre

Science & Mathematics


No Of Pages

360


Publisher

Harpercollins


Isbn Code

978-1492072942 (Isbn Code), 978-1492072942 (Isbn Code)

Product Description


  • Premium Quality: Statistical methods are a key part of data science, yet few data scientists have formal statistical training.

  • Product Design: Courses and books on basic statistics rarely cover the topic from a data science perspective.

  • User Experience: The second edition of this popular guide adds comprehensive examples in Python and provides practical guidance on applying statistical methods to data science.

  • Versatile Occasion: It tells you how to avoid their misuse, and gives you advice on what's important and what's not.