Description: Essential Math for Data Science by Thomas Nield Estimated delivery 3-12 business days Format Paperback Condition Brand New Description To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math youll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Publisher Description To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math youll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus.Practical examples with Python code will help you see how the math applies to the work youll be doing, providing a clear understanding of how concepts work under the hood while connecting them to applications like machine learning. Youll get a solid foundation in the math essential for data science, but more importantly, youll be able to use it to:Recognize the nuances and pitfalls of probability mathMaster statistics and hypothesis testing (and avoid common pitfalls)Discover practical applications of probability, statistics, calculus, and machine learningIntuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and addedPerform calculus derivatives and integrals completely from scratch in PythonApply what youve learned to machine learning, including linear regression, logistic regression, and neural networks Author Biography Thomas Nield is the founder of Nield Consulting Group as well as an instructor at OReilly Media and University of Southern California. He enjoys making technical content relatable and relevant to those unfamiliar or intimidated by it. Thomas regularly teaches classes on data analysis, machine learning, mathematical optimization, and practical artificial intelligence. Hes authored two books, including Getting Started with SQL (OReilly) and Learning RxJava (Packt). Details ISBN 1098102932 ISBN-13 9781098102937 Title Essential Math for Data Science Author Thomas Nield Format Paperback Year 2022 Pages 350 Publisher OReilly Media GE_Item_ID:158752117; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 48.71 USD
Location: Fairfield, Ohio
End Time: 2024-11-22T04:03:02.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781098102937
Book Title: Essential Math for Data Science
Number of Pages: 347 Pages
Publication Name: Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Algebra / Linear, Probability & Statistics / Regression Analysis, Calculus
Publication Year: 2022
Item Height: 1 in
Item Weight: 21 Oz
Type: Textbook
Subject Area: Mathematics
Item Length: 9.1 in
Author: Thomas Nield
Item Width: 7 in
Format: Trade Paperback
