Practical Data Science with Python 3: Synthesizing Actionable Insights from...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Practical Data Science With Python 3: Synthesizing Actionable Insights From DataISBN13:9781484248584ISBN10:1484248589Author:Varga, Ervin (Author)Description:Gain Insight Into Essential Data Science Skills In A Holistic Manner Using Data Engineering And Associated Scalable Computational Methods This Book Covers The Most Popular Python 3 Frameworks For Both Local (Multi-Core Cpu And Gpu Architectures) And Distributed (In Premise And Cloud Based) Processing As Data Science Projects Gets Continuously Larger And More Complex, Software Engineering Knowledge And Experience Is Crucial To Produce Evolvable Solutions You'll See How To Create Maintainable Software For Data Science, And How To Document Data Engineering Practices As Shareable Assets In An Enterprise Using Omg Essence This Book Is A Good Starting Point For People Who Want To Gain Practical Skills To Perform Data Science All The Code Will Be Available In The Form Of Ipython Notebooks And Python 3 Programs, Which Allow You To Reproduce All Analyses From The Book And Customize Them For Your Own Purpose You'll Also Benefit From Advanced Topics Like Multi-Agent Systems, Game Theory, Machine Learning And Security In Data Science Practical Data Science With Python Will Empower You Analyze Data, Formulate Proper Questions, And Produce Actionable Insights, Three Core Stages In Most Data Science Endeavors What You'll Learnplay The Role Of A Data Scientist When Completing Increasingly Challenging Exercises Using Python 3Work Work With Proven Data Science Techniquestechnologies Review Scalable Software Engineering Practices To Ramp Up Data Analysis Abilities In The Realm Of Big Dataapply Theory Of Probability, Statistical Inference, And Algebra To Understand The Data Science Practicesuse Omg Essence To Document Data Science Methodspractices As Shareable Assetswho This Book Is Forthe Primary Audience Of The Book Will Be Both Newcomers In The Field Of Data Science, As Well As Those Who Would Like To Sharpen Their Computational Skills To Be More Productive In Their Everyday Work With Data Binding:Paperback, PaperbackPublisher:APRESSPublication Date:2019-09-08Weight:1.47 lbsDimensions:0.97'' H x 9.21'' L x 6.14'' WNumber of Pages:462Language:English

Price: 47.45 USD

Location: USA

End Time: 2024-11-03T05:56:29.000Z

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