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R: Predictive Analysis. Master the art of predictive modeling Eric Mayor, Tony Fischetti, Rui Miguel Forte

Język publikacji: angielskim
R: Predictive Analysis. Master the art of predictive modeling Eric Mayor, Tony Fischetti, Rui Miguel Forte - okladka książki

R: Predictive Analysis. Master the art of predictive modeling Eric Mayor, Tony Fischetti, Rui Miguel Forte - okladka książki

Autorzy:
Eric Mayor, Tony Fischetti, Rui Miguel Forte
Ocena:
Bądź pierwszym, który oceni tę książkę
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Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines.
The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R.
We start with an introduction to data analysis with R, and then gradually you’ll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. You will then perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. By the end of this Learning Path, you will have explored and tested the most popular modeling techniques in use on real-world data sets and mastered a diverse range of techniques in predictive analytics.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
• Data Analysis with R, Tony Fischetti
• Learning Predictive Analytics with R, Eric Mayor
• Mastering Predictive Analytics with R, Rui Miguel Forte

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O autorach książki

Eric Mayor is a senior researcher and lecturer at the University of Neuchatel, Switzerland. He is an enthusiastic user of open source and proprietary predictive analytics software packages, such as R, Rapidminer, and Weka. He analyzes data on a daily basis and is keen to share his knowledge in a simple way.
Tony Fischetti is a data scientist at College Factual, where he gets to use R everyday to build personalized rankings and recommender systems. He graduated in cognitive science from Rensselaer Polytechnic Institute, and his thesis was strongly focused on using statistics to study visual short-term memory.



Tony enjoys writing and contributing to open source software, blogging at onthelambda, writing about himself in third person, and sharing his knowledge using simple, approachable language and engaging examples.

The more traditionally exciting of his daily activities include listening to records, playing the guitar and bass (poorly), weight training, and helping others.
Why do you think this reviewer is suitable for this book?



Mr. Rui Miguel Forte has authored a book for Packt titled “Mastering Predictive Analytics with R”. The book has received a 5 star rating. He has 3 years experience as a Data Scientist. He has knowledge of Scala, Python, R, PHP.



• Has the reviewer published any articles or blogs on this or a similar tool/technology ? [Provide Links and References]



A brief of Unsupervised learning has been covered in his book “Mastering Predictive Analytics with R”



https://www.safaribooksonline.com/library/view/mastering-predictive-analytics/9781783982806/



https://www.linkedin.com/profile/view?id=AAkAAAC5YUIBYL7LyLCWZ6LsR0ENJxByC2jU9AU&authType=NAME_SEARCH&authToken=c1Pg&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A12149058%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1444032603690%2Ctas%3ARui%20Miguel%20Forte





• Feedback on the Outline (in case outline has been shared with the reviewer)



The author said the outline is good to go.



• Did the reviewer share any concerns or questions regarding the reviewing process? (related to the schedule, commitment, or any additional comments)



No

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