Andrew Ngβs Machine Learning Specialization 2022 | What is it and is it worth taking?
π₯ Receive top data science/ AI insights in your inbox π https://thu-vu.ck.page/49c5ee08f6 π€ Machine Learning Specialization by Andrew Ng π https://imp.i384100.net/RyjykN π Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow πhttps://amzn.to/3OGASvc π The Master Algorithm πhttps://amzn.to/3ybeUth Hey data nerds π, 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 ππ½ Need help with preparing for your next data science interview? Use referral code βthuvuβ to get 10% discount on any of the offerings on datainterview.com π©π»βπ» COURSES & RESOURCES ββββββββββββββββββββββββββ 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 ππ»ββοΈ LET'S CONNECT! ββββββββββββββββββββββββββ π€ Join my Discord server: https://discord.gg/SK7ZC5XhcS π© Newsletter: https://thu-vu.ck.page/profile β Medium: https://medium.com/@vuthihienthu.ueb π All links: https://linktr.ee/thuvuanalytics π TIMESTAMPS ================================ 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 ================================ As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on some of the links above. It costs you nothing but helps me with content creation. #machinelearning #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics