Andrew Ngโ€™s Machine Learning Specialization 2022 | What is it and is it worth taking?



๐Ÿค– Machine Learning Specialization by Andrew Ng ๐Ÿ‘‰ https://imp.i384100.net/RyjykN
๐Ÿ“š Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow ๐Ÿ‘‰https://amzn.to/3OGASvc
๐Ÿ“š The Master Algorithm ๐Ÿ‘‰https://amzn.to/3ybeUth
๐Ÿ‘” Need help with preparing for your next data science interview? Use referral code โ€˜thuvuโ€™ to get 10% discount on any of the offerings on datainterview.com

Hey data nerds ๐Ÿ‘‹, in this video I’m talking about the new Machine Learning Specialization by Andrew Ng on Coursera. I’ll be giving you a review of the course structure, the topics covered, and sharing some of my thoughts about whether the course is worth taking + tips and tricks for learning. Thank you for watching ๐Ÿ™Œ๐Ÿฝ

Need help with preparing for your next data science interview? Use referral code โ€˜thuvuโ€™ to get 10% discount on any of the offerings on datainterview.com

๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป COURSES & RESOURCES
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๐Ÿ“– Learn SQL Basics for Data Science Specialization ๐Ÿ‘‰ https://imp.i384100.net/AovPnJ
๐Ÿ“– Excel Skills for Business ๐Ÿ‘‰ https://coursera.pxf.io/doPaoy
๐Ÿ“– Machine Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/RyjykN
๐Ÿ“– Data Visualization with Tableau Specialization ๐Ÿ‘‰https://imp.i384100.net/n15XWR
๐Ÿ“– Deep Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/zavBA0
๐Ÿ“– Mathematics for Machine Learning and Data Science Specialization ๐Ÿ‘‰ https://imp.i384100.net/LXK0gj
๐Ÿ“– Google Data Analytics Certificate ๐Ÿ‘‰ https://imp.i384100.net/15v9y6
๐Ÿ“– Applied Data Science with Python ๐Ÿ‘‰ https://imp.i384100.net/gbxOqv

๐Ÿ™‹๐Ÿปโ€โ™€๏ธ LET’S CONNECT!
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๐Ÿค“ Join my Discord server: https://discord.gg/SK7ZC5XhcS
๐Ÿ“ฉ Newsletter: https://substack.com/profile/87689887-thu-vu
โœ Medium: https://medium.com/@vuthihienthu.ueb
๐Ÿ”— All links: https://linktr.ee/thuvuanalytics

๐Ÿ”‘ TIMESTAMPS
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0:00 – Intro
0:25 – New ML Specialization is launched
1:29 – Supervised ML course
1:49 – Advanced Learning Algorithms course
2:42 – Unsupervised ML course
3:03 – Changes & updates from the old course
4:26 – Course format & tools
5:01 – Time & money investment
5:57 – My likes & concerns
8:48 – Is it worth taking & Who should take it
10:18 – What I recommend for learning in the course

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#machinelearning #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics

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