π₯ Receive top data science/ AI insights in your inbox π https://thu-vu.ck.page/49c5ee08f6
π€ Coursera's courses mentioned:
π Mathematics for Machine Learning Specialization: https://imp.i384100.net/BX91NB
π Data Science Math Skills: https://imp.i384100.net/oevBxo
π Deep Learning Specialization: https://imp.i384100.net/zavBA0
π Comprehensive math book for DS:
π Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf
π Statistics books with R:
π Modern Statistics with R: http://www.modernstatisticswithr.com/
π Introduction to Statistical Learning: https://www.statlearning.com/
π Introduction to Statistical Thinking: https://open.umn.edu/opentextbooks/textbooks/1044
π©π»βπ» COURSES & RESOURCES
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π Google Advanced Data Analytics Certificate π https://imp.i384100.net/anK9zZ
π Google Data Analytics Certificate π https://imp.i384100.net/15v9y6
π Learn SQL Basics for Data Science Specialization π https://imp.i384100.net/AovPnJ
π Excel Skills for Business π https://coursera.pxf.io/doPaoy
π Machine Learning Specialization π https://imp.i384100.net/RyjykN
π Data Visualization with Tableau Specialization πhttps://imp.i384100.net/n15XWR
π Deep Learning Specialization π https://imp.i384100.net/zavBA0
π Mathematics for Machine Learning and Data Science Specialization π https://imp.i384100.net/LXK0gj
π Applied Data Science with Python π https://imp.i384100.net/gbxOqv
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π TIMESTAMPS
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0:00 - Intro
0:37 - The math you need to know for DS
1:12 - !!You donβt need to know everything!!
2:23 - Linear algebra essentials
3:10 - Calculus essentials
4:04 - Statistics & probability essentials
5:07 - Discrete math
6:08 - Tips for learning math
12:30 - Bonus tip
13:24 - Outro
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