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@@ -53,3 +53,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Deep[[:space:]]Neural[[:space:]]Networks[[:space:]]Are[[:space:]]Our[[:space:]]Friends.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/How[[:space:]]to[[:space:]]start[[:space:]]your[[:space:]]journey[[:space:]]as[[:space:]]a[[:space:]]data[[:space:]]scientist.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Introduction[[:space:]]to[[:space:]]stats,[[:space:]]big[[:space:]]data[[:space:]]and[[:space:]]data[[:space:]]mining/An[[:space:]]introduction[[:space:]]to[[:space:]]statistical[[:space:]]methods[[:space:]]and[[:space:]]data[[:space:]]analysis.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Introduction[[:space:]]to[[:space:]]stats,[[:space:]]big[[:space:]]data[[:space:]]and[[:space:]]data[[:space:]]mining/Big[[:space:]]Data[[:space:]]Analytics[[:space:]]Made[[:space:]]Easy-Y.[[:space:]]Lakshmi[[:space:]]Prasad.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Introduction[[:space:]]to[[:space:]]stats,[[:space:]]big[[:space:]]data[[:space:]]and[[:space:]]data[[:space:]]mining/Introduction[[:space:]]au[[:space:]]Data[[:space:]]Mining.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Introduction[[:space:]]to[[:space:]]stats,[[:space:]]big[[:space:]]data[[:space:]]and[[:space:]]data[[:space:]]mining/Introduction[[:space:]]Big[[:space:]]Data.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Top[[:space:]]Courses[[:space:]]in[[:space:]]Machine[[:space:]]learning,[[:space:]]Deep[[:space:]]Learning[[:space:]]and[[:space:]]AI.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/From[[:space:]]where[[:space:]]to[[:space:]]start/Workshop[[:space:]]on[[:space:]]Deep[[:space:]]Learning.pdf filter=lfs diff=lfs merge=lfs -text
+From[[:space:]]where[[:space:]]to[[:space:]]start/Time[[:space:]]Management[[:space:]]-[[:space:]]([[:space:]]ARABIC[[:space:]]) filter=lfs diff=lfs merge=lfs -text

From where to start/From where to start/Deep Neural Networks Are Our Friends.pdf

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From where to start/From where to start/How to start your journey as a data scientist.pdf

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From where to start/From where to start/Introduction to stats, big data and data mining/An introduction to statistical methods and data analysis.pdf

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From where to start/From where to start/Introduction to stats, big data and data mining/Big Data Analytics Made Easy-Y. Lakshmi Prasad.pdf

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From where to start/From where to start/Introduction to stats, big data and data mining/Introduction Big Data.pdf

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From where to start/From where to start/Introduction to stats, big data and data mining/Introduction au Data Mining.pdf

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From where to start/From where to start/ThePathToLearn.txt

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+How to Start this journey ?
+
+
+A Good Concise Plan: 
+
+👉 https://blog.usejournal.com/i-want-to-learn-data-science-where-do-i-start-what-if-i-get-stuck-a3a8d1921875
+
+
+A Detailed Plan: 
+
+👉 https://www.analyticsvidhya.com/blog/2017/01/the-most-comprehensive-data-science-learning-plan-for-2017/
+
+
+After elaborating your own 'plan of attack', you can find here the everyday resources you'll need: 
+
+👉 Visit: www.claoudml.com && https://data-flair.training/blogs/data-science-tutorials-home/
+
+
+
+General Resources :
+
+http://www.ngdata.com/top-data-science-resources/
+https://blog.modeanalytics.com/data-science-career/
+https://medium.freecodecamp.com/if-you-want-to-learn-data-science-start-with-one-of-these-programming-classes-fb694ffe780c#.i0rtmcxsu
+http://datascienceglossary.org/
+
+
+75 free lectures on this link: 
+http://www.listendata.com/p/r-programming-tutorials.html
+
+
+http://scikit-learn.org/stable/tutorial/machine_learning_map/
+https://www.springboard.com/learning-paths/data-analysis/learn/
+
+
+Self paced online courses
+http://www.datasciguide.com/contenttype/self-paced-online/
+
+
+Scheduled Online courses
+http://www.datasciguide.com/contenttype/scheduled-course-online/
+
+
+Websites you should daily check:
+
+https://allthingsds.wordpress.com/
+http://www.becomingadatascientist.com/
+http://wesmckinney.com/
+https://miningthesocialweb.com/
+http://www.gregreda.com/
+http://kldavenport.com/
+http://jvns.ca/
+https://www.cse.unr.edu/~hkardes/
+http://seanjtaylor.com/
+http://drewconway.com/
+http://www.hilarymason.com/
+http://complexdiagrams.com/
+http://hairysun.com/
+
+
+Where can I find trainings free of charge ?
+
+1. https://lnkd.in/gkXWHDS 
+2. https://lnkd.in/guve2Qx 
+
+
+100+ Free Data Science E-Books* Download Link: 👇
+http://bit.ly/100-free-datascience-ebooks
+
+
+Where can I find amazing free ebooks?
+
+Free Computer, Mathematics, Technical Books and Lecture Notes, etc.
+
+1)DigiLibraries....................https://digilibraries.com/
+
+2)Free-Ebooks................... https://www.free-ebooks.net/
+
+3)Internet Archive.......................https://archive.org/
+
+4)ManyBooks............................https://manybooks.net/
+
+5)OverDrive....................... https://www.overdrive.com/
+
+6)PDFBooksWorld................. http://www.pdfbooksworld.com/
+
+7)Project Gutenberg................ https://www.gutenberg.org/
+
+8)Sharing.................. https://www.sharingebook.com/?m=1
+
+9)Snewd................................... https://snewd.com/
+
+10)CrazyBooks...................... https://www.crazybooks.in/
+
+11)Free-eBooks.uk..........https://free-ebooks.uk/m_index.html
+
+12)'Wowebook' : ........................https://bit.ly/2EzpgKg
+
+13)'Free Tech Books' : .................https://bit.ly/2QXMcIW
+
+14)'Ebook 3000' : ......................https://bit.ly/2Ll5lPG
+
+15)'Free Book Centre' ..................https://bit.ly/2EsyVS8
+
+16)'Free Computer Books' : .............https://bit.ly/2ST69Ol
+
+
+
+To compete with worldwide amazing data specialists 👉 Visit: https://www.kaggle.com/wiki/Tutorials

From where to start/From where to start/Top Courses in Machine learning, Deep Learning and AI.pdf

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From where to start/From where to start/Workshop on Deep Learning.pdf

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From where to start/Time Management - ( ARABIC )

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