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Mike X Cohen - Practical Linear Algebra for Data Science From Core - S9000z

Description: About this Item The item is a book Paperback The Author Name is Mike X Cohen The Title is Practical Linear Algebra for Data Science : From Core Concepts to Applications Using Python Condition New Other Comments Pages Count - 326. Category - Computers Product Description - If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:The interpretations and applications of vectors and matricesMatrix arithmetic (various multiplications and transformations)Independence, rank, and inversesImportant decompositions used in applied linear algebra (including LU and QR)Eigendecomposition and singular value decompositionApplications including least-squares model fitting and principal components analysis We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift Ideas This is a great Christmas gift idea. Hours of Service We have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444213

Price: 107.93 USD

Location: US

End Time: 2025-01-22T18:03:25.000Z

Shipping Cost: 5.33 USD

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Mike X Cohen - Practical Linear Algebra for Data Science   From Core  - S9000z

Item Specifics

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

Fiction/Non-Fiction: Non-Fiction

Genre/Subject: Computers

Narrator/Voice Actors: NA

Length: 177

Running Time: NA

Features: NA

Age Level: NA

Modified Item: NA

Modification Description: NA

Title: Practical Linear Algebra for Data Science From Core Concepts to

Series: NA

Signed: NA

Inscribed: NA

Personalized: NA

California Prop 65 Warning: NA

Weight: 0.68

Number of Pages: 326 Pages

Language: English

Publication Name: Practical Linear Algebra for Data Science : from Core concepts to Applications Using Python

Publisher: O'reilly Media, Incorporated

Subject: Algebra / Linear, Data Processing

Item Height: 0.8 in

Publication Year: 2022

Item Weight: 19.7 Oz

Type: Textbook

Subject Area: Mathematics, Computers

Author: Mike Cohen

Item Length: 9.2 in

Item Width: 7.6 in

Format: Trade Paperback

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