PluralSight.Experimental.Design.for.Data.Analysis-BOOKWARE-KNiSO

Section

Appz

Group

KNiSO

Size

276,55 MB

Files

22

Date

2019-06-21

NFO

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                              PROUDLY PRESENTING:
                    
           Experimental.Design.for.Data.Analysis



				 INFORMATION:

  Date............: 2019-06-20
  Rars............: 20
  Course Length...: 2 hrs 44 mins
  Website.........: https://www.pluralsight.com/courses/experimental-design-data-analysis

			      Release Notes...:
                                                                              
    Providing crisp, clear, actionable points-of-view to senior
    executives is becoming an increasingly important role of data
    scientists and data professionals these days. Now, a
    point-of-view must represent a hypothesis, ideally backed by
    data. In this course, Experimental Design for Data Analysis,
    you will gain the ability to construct such hypotheses from
    data and use rigorous frameworks to test whether they hold
    true. First, you will learn how inferential statistics and
    hypothesis testing form the basis of data modeling and
    machine learning. Next, you will discover how the process of
    building machine learning models is akin to that of designing
    an experiment and how training and validation techniques help
    rigorously evaluate the results of such experiments. Then,
    you will round out the course by studying various forms of
    cross-validation, including both singular and iterative
    techniques to cope with independent, identically distributed
    data and grouped data. Finally, you will also learn how you
    can refine your models using these techniques with
    hyperparameter tuning. When you’re finished with this course,
    you will have the skills and knowledge to build and evaluate
    models, specifically including machine learning models, using
    rigorous cross-validation frameworks and hyperparameter
    tuning.

			      Install Notes...: 
			 Unrar, Learn and Enjoy!                                                                            
                                                     
                         
			      GREETINGS:

 - KNOWN - HONOR - SKIDROW - DARKSiDERS - DAUDiO - JAVSiDERS - dbOOk - z0ne -
        

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