"Learning from Data made easy with R. A gentle Introduction for Data Science"

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Book	Author(s)	Year	Publisher
Learning from Data made easy with R. A gentle Introduction for Data Science	N.D. Lewis	2016	CreateSpace
Deep Learning made easy with R. A gentle Introduction for Data Science	N.D. Lewis	2016	CreateSpace
Missing data: a gentle introduction /	McKnight, Patrick E.	2007.	Guilford Press,
Data Science for Business With R	Jeffrey S. Saltz; Jeffrey M. Stanton	February 2021	SAGE Publications, Inc
Quantitative Social Science Data with R: An Introduction	Brian J. Fogarty	April 2023	SAGE Publications Ltd
Quantitative Social Science Data with R: An Introduction	Brian J. Fogarty	January 2019	SAGE Publications Ltd
Data Science with R	Grolemund, Garrett	2015	O'Reilly Media
Easy Statistics for Food Science with R	Abbas F. M. Alkarkhi and Wasin A. A. Alqaraghuli	2019	Academic Press
Introduction to Data Science: Data Analysis and Prediction Algorithms with R	Rafael A. Irizarry	2019	Routledge
R for Data Science	Hadley Wickham & Garrett Grolemund	2017	O’Reilly Media, Inc.,
Beginning Data Science with R	Manas A. Pathak	2014	Springer International Publishing
Textual Data Science with R	Mónica Bécue-Bertaut	2018	Routledge
Modern Data Science with R	Benjamin S. Baumer; Daniel T. Kaplan; Nicholas J. Horton	2021	Routledge
Practical Data Science With R	Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas	2020	Manning Publications
Practical data science with R	(Computational scientist) John Mount; Nina Zumel; Jeremy Howard; Rachel Thomas	2020	Manning Publications
Modern Data Science with R	Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton	2017	CRC
The Big R-Book - From Data Science to Learning Machines and Big Data	Philippe De Brouwer	2020	John Wiley & Sons
Data Analysis Made Easy	Carvalho, André; Horvath, Tomás; Moreira, João	2018	John Wiley & Sons, Incorporated
Science made easy	Carol Vorderman	2008	Dorling Kindersley;Dorling Kindersley Publishers Ltd
R for Health Data Science	Ewen Harrison; Riinu Pius	2020	Routledge
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Data integration made easy		Delphi Cookbook: Recipes to Master Delphi for IoT Integrations, Cross-Platform, Mobile and Server-side Development	Spinetti, Daniele; Teti, Daniele	2018	Packt Publishing Ltd
Data integration made easy		Delphi Cookbook, : Recipes to Master Delphi for IoT Integrations, Cross-Platform, Mobile and Server-side Development, 3rd Edition.	Spinetti, Daniele; Teti, Daniele	2018	Packt Publishing Ltd
Machine Learning - A gentle introduction	Nailong Zhang	A Tour of Data Science: Learn R and Python in Parallel	Nailong Zhang	2020	Routledge
Data integration made easy â€“ TFDLocalSQL		Delphi Cookbook -	Daniele Spinetti; Daniele Teti	2018	Packt Publishing - ebooks Account
A data-driven portlet made easy		Liferay in action: the official guide to Liferay Portal development	Rich Sezov	2011	Manning
Data Mining: A Gentle Introduction	George Fernandez	Statistical Data Mining Using SAS Applications	George Fernandez	2011	Routledge
Lead Learning with Easy Data Use	Karen A. Goeller	Six Steps to Boost Student Learning: A Leader\’s Guide	Karen A. Goeller	2017	Routledge
Practical Data Science with R		Practical data science with R	(Computational scientist) John Mount; Nina Zumel; Jeremy Howard; Rachel Thomas	2020	Manning Publications
Practical Data Science with R		Practical Data Science With R	Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas	2020	Manning Publications
INTRODUCTION: BAKING MADE EASY		The Original Bread Machine Cookbook: Simple Hands-Off Recipes to Make Perfect Homemade Loaves With Any Bread Maker (Includes Gluten-Free Options)	Chandler, Camilla	2021
Introduction: Empiricism Made Easy		The Testimony of Sense: Empiricism and the Essay from Hume to Hazlitt	Tim Milnes	2019	Oxford University Press
Data Modeling Technique Made Easy with Hybrid Learning Computer Aided Instruction	Joseph Fong; L. F. Kwok; Simon K. S. Cheung	Hybrid Learning: 4th International Conference, ICHL 2011, Hong Kong, China, August 10-12, 2011, Proceedings	Reggie Kwan; Joseph Fong; Lam-For Kwok; Jeanne Lam	2011	Springer Berlin Heidelberg
Introduction: Learning from a Man-made Disaster	Scott D. Sagan	Learning from a Disaster: Improving Nuclear Safety and Security after Fukushima	Scott D. Sagan; Edward D. Blandford	2016	Stanford University Press
Big Data Development Made Easy		MSDN Magazine		2016
contextmanager â€” with statements made easy		Mastering Python: Write powerful and efficient code using the full range of Python's capabilities, 2nd Edition	Rick van Hattem	2022	Packt
9 R for Data Science		R Programming: A Step-by-Step Guide for Absolute Beginners	Daniel Bell	2019	Independently published
A Gentle Introduction to Reinforcement Learning	Ann Nowé; Tim Brys	Scalable Uncertainty Management: 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings	Steven Schockaert; Pierre Senellart	1st ed. 2016	Springer International Publishing
A Gentle Introduction to Feature Learning	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
A gentle introduction to data modeling	Fotis Jannidis; Julia Flanders	The Shape of Data in the Digital Humanities: Modeling Texts and Text-based Resources	Julia Flanders; Fotis Jannidis	2018	Routledge
Learning Python for Data Science		Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python.	Campbell, Alex	2021
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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