IBM Machine Learning Professional Certificate on Coursera: Full Review!
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- čas přidán 5. 08. 2024
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00:00 The IBM Machine Learning Professional Certificate is distinct from the IBM Data Science and Analyst certificates, as it focuses specifically on machine learning.
00:31 The certificate has a rating of 4.7 stars on 600 ratings, but the number of ratings is relatively low.
01:00 The skills gained in the certificate include data science, deep learning, Python programming, feature engineering, statistical hypothesis testing, exploratory data analysis, and regression.
02:24 The certificate requires an intermediate level of knowledge in math, statistics, computer programming, and Python.
03:27 The first course in the certificate focuses on exploratory data analysis and covers topics such as data retrieval, cleaning, feature engineering, and hypothesis testing.
04:54 The second course in the certificate is about supervised machine learning regression, covering topics such as training regression models, error metrics, and regularization techniques.
06:26 The third course in the certificate is about supervised machine learning classification, covering topics such as predictive models, error metrics, and handling unbalanced classes.
08:24 The fourth course in the certificate is about unsupervised learning, covering topics such as clustering and dimensionality reduction algorithms.
09:55 The fifth course in the certificate is about deep learning and reinforcement learning, focusing on deep learning architectures and reinforcement learning techniques.
11:28 The sixth course in the certificate is about specialized models, specifically time series and survival analysis.
13:02 The reviewer highly recommends the IBM Machine Learning Professional Certificate and encourages viewers to consider taking it.
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this channel is gold: straight to the point, easy to understand, super informative. just subscribed. thanks, Greg!
Super glad to hear it
It's very difficult to find informative videos on these topics. Thank you for your content, really helped me a lot.
Glad to hear it!
I’ve waited for this video !!! ❤️❤️❤️👍🏽👍🏽👍🏽 Thanks man
Oh I'm really happy to hear that! Hope you enjoy!
Hi, thanks for this great video.
Hey Mehdi, thanks for the kind words. You're super welcome.
I have just started this course and it has been truly excellent already!
Did you pay anything?
@@tyuiop67996 how much does it cost?
@@millibrown3497 i didn't start it Millie
@@millibrown3497 about 49 us dollar per month but if you bought from mobile applicataion you can get it 10usd cheaper.
Bro is it best course than Andrew ng course
Thankyou so much for inputs.
May I know which course is better to start with IBM data science or IBM machine learning
Data science first.
what type of projects are asked to be done?
Hi Greg, thank you for the comprehensive review. I have already taken the ML Specialization by Prof Andrew Ng. Should I take up this course as well??
You could but probably a lot of overlap. Deep learning would be better
Greg , do you recommend taking the Math for Machine Learning Course before or after the Ng's Machine Learning one?
Before, if you think you might need it. Technically, it's covered in Andrew Ng's course.
Ok, Thanks 👍
Happy 🎉
What would you recommend if one was to choose between IBM AI Engineering or IBM Machine learning I have just completed IBM Data science I am confused between them.
Probs ml
Can I do this course without any prior coding/Programming language? If not, what skills should I work on before taking on this particular course?
Should probably learn something like python first. I've got a full length free video for it which could be useful.
Hey do you recommend doing this course or the one by Andrew ng (deeplearning ai and stanford which has 3 courses).
Andrew Ng's more.
Why? This one seems to cover way more and be more praxis oriented
Is there anyone who has a lot of experience in this field? I have a degree in communications and minor in computer science (44 quarter units of CS classes, basically a mini CS degree, that's how the department describes it) from UC Davis,
I am trying to develop my career. I am almost finished with the google data analytics certification and I am wonder what would be a good course to start next. Thinking about the IBM Machine learning cert but this sounds great too. I tend to like the more CS side of things.
I would love some advice :-)
If you like CS side of things, then better to explore Data Engineering. If you like math and stats, then machine learning.
@@raghavayenigalla9195 should I do a master's degree or is there certificate you would recommend?
If I've already been studying ML and I'm confident in my knowledge can I just take the exam for the certificate?
If that's all it takes to get the certificate, sure haha
@@GregHogg LOL. Would you know if the Coursera courses allow for that? Just out of curiousity before I sign up.
@@coreyglaze6479 Generally there's assignments and other stuff like quizzes you have to do as well. I don't think it makes watching the videos mandatory though
@@GregHogg Great, Thanks
My teacher please answer me can i get work in company after finish the best courses for ML there are in discription ??
They will significantly aid you. I suggest my whole pathway if possible.
@@GregHogg thank you so much
Where do I find whole your way?
@@omaralhajali3915 In most of my recent videos the link will be in the description
@@GregHogg I will start now in my trip with these courses thak you so much my coatch
@@omaralhajali3915 Great to hear!