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Practical Statistics For Data Scientists By Peter Bruce
₹4,319
₹8,649
50% OffFinal Price inclusive of all taxes
size
17.78 x 2.29 x 23.11 cm
Product Information
Brand Name
Books Kingdom
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
Material
Paperback
Country Of Origin
India
Pack Of
1
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
Isbn Code
978-1492072942 (Isbn Code), 978-1492072942 (Isbn Code)
No Of Pages
360
Publisher
Harpercollins
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.
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