Andrew Ng’s Machine Learning Specialization 2022 | What is it and is it worth taking?
🤖 Machine Learning Specialization by Andrew Ng 👉
Hey data nerds 👋, 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 🙌🏽
MY GEAR
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👩🏻💻 My laptop and iPad for doing DS/ study 👉
⚙️ Tech I use for making Youtube videos 👉
🔍Check out my other videos on Data Analyst/ Data Science 👉
COURSES & RESOURCES
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💯 SQL Courses:
Select Star SQL 👉
SQL tutorials 👉
📑 Excel Courses:
Excel Skills for Business 👉
📊 Data Visualisation:
📚 Books I recommend:
How to create effective charts and diagrams 👉
Data Viz Catalog 👉
🤖 Programming Courses:
Python for Everybody Specialization 👉
Introduction to AI with Python (Harvard University) 👉
Using Python for Research (Harvard University) 👉
R Programming 👉
(this course can be tough at times especially at the assignment parts, but it’s worth the challenge. I’d recommend it to someone who’s already familiar with R or other programming languages.)
🙋🏻♀️ LET’S CONNECT!
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🔑 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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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
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