the Maths for Machine Learning specialisation was one of the first that i've ever done on Coursera. and it's still my favourite set of courses i've done on Coursera so far.
@jayra19723 жыл бұрын
same! indeed recommended
@joshlyn90413 жыл бұрын
@Winston McGee why? can you be more specifit?
@johann-jpg3 жыл бұрын
Tim Roughgardens Algorithm Specilization is amazing!
@nayanukande5554 Жыл бұрын
exacttly...i had this course in university before but this one is more preferable
@Berutoron3 жыл бұрын
Thank you for this recommendation, Giles. I just completed the entire course. tl;dr: I'm glad I did it, it's a great course overall and I would recommend people take it, bu unlike you, the reason I also found the PCA course (i.e. the third and last part) the weakest isn't because the teacher wasn't as personable as the previous two. For those interested, read below for my full impressions of that part: I didn't really mind the fact that the third teacher doesn't really connect with the viewer. Yes, they don't smile much and they don't have the same kind of energy as the first two teachers, but as long as the pedagogy is there, it's all good... But that's the issue really: the teacher and the content make too many assumptions about the students, and the pedagogy felt lacking as a result. Even if the course is labeled "intermediate", it's supposed to be the logical progression of courses 1 and 2, and it feels like anything but that. Mathematical concepts, formulas and notation are often glossed over in a sentence, with few visual or concrete examples, such that you're very quickly overwhelmed if your math knowledge isn't already way beyond what was expected in the other two courses. When you're not already really comfortable with (from my point of view) fairly advanced maths, too much abstraction can be very intimidating and a complete motivation killer. You just end up feeling like you're an idiot or like mathematics just aren't for you. The course content is lighter (4 weeks only), yet at the same time, it covers far more complex topics, and it often feels like much less effort was put into it. For example, the teacher often defaults to giving you reading material - some of which is quite heavy on esoteric notation that is barely covered, if at all - instead of making explanatory videos. Another example: the feedback on quiz questions, most of the time, amounts to "Great job!" or "Incorrect", with no explanations. The quizzes themselves often feel completely disconnected from the lessons that precede or follow them. They can be extremely easy, or extremely hard, usually with no in-between. And the programming assignments can be strangely worded or contain mistakes at times, which can throw you off as a student. They certainly threw me off, even though I'm already quite familiar with Python and numpy. In other words, the substance of the assignments wasn't necessarily insurmountable - I was shocked how quickly I completed some of them, in fact -, but the way they're framed and explained made some of them more puzzling than they needed to be sometimes. All those aspects are big departures from the teaching style of the previous courses. Lastly, though this was also an issue with the other courses, the teachers and staff barely ever reply to questions on the forum. Not too much of an issue when the course itself is great, but for this third course, it didn't help matters. I realize I sound very critical, but again, this isn't to say people shouldn't take the course. They should take it, including the third part, if they have any interest in machine/deep learning and they need to brush up on maths. It's easily worth the €40/month - by the way, you can go through the entire curriculum in a month if you can devote 4-6 hours to it almost every day like I inexplicably managed to do. I just wanted to push back a little against what you said in the video, where you seemed to imply that people were unfairly complaining about some of the assignments. From someone who isn't already very comfortable with maths and abstractions but was diligently making their way through all the content regardless, let me emphasize: it's not just that the third course will challenge you and you should just deal with it; it's that it could stand to be improved, or at least give more pointers to helpful external resources (not just a link to a Wikipedia article). Being challenging or intermediate level isn't an excuse for an unbalanced difficulty curve or hasty coverage of complex topics. I will say this though: that last quiz before the final assignment forced me to do a deep dive on partial derivatives (especially the chain rule) and gave my poor little brain quite a workout. Genuinely thankful for that. And again, the previous two courses alone are worth enrolling for. Looking forward to more course/book recommendations! :)
@vinhkhang202 жыл бұрын
really thankful for your detailed feedback !
@muhammedshah502 жыл бұрын
How cani contact you....can you provide wp or mail ID
@Mo.Faried2 жыл бұрын
I am still in the second course, and you wouldn't believe me when If I told you that I already finished my Deep Learning specialization, but chose to study this specialization to gain more depth in the related math, and still I am impressed so far by the first 2 courses.
@taneemishere2 жыл бұрын
for the third course it would be very good if they include the statistics and probability instead of PCA
@firstname43373 жыл бұрын
oh, I've been waiting for this review ever since you announced you were going to do it weeks ago -- YEA ! so happy to hear what you've got to say
@TheYoRND3 жыл бұрын
This course was really helpful!. It saved me in my first Master's degree semester.
@echandu11673 жыл бұрын
In which country your doing master's and in which stream are you our pursuing bro ?
@sumeetsiddhartha90313 жыл бұрын
i had started the course but couldn't find time due to work i would definitely pursue it, now that you recommend it
@sbwiecko3 жыл бұрын
excellent review, I would add that using/learning sympy in parallel helped me a lot following the course and understanding the mathematical concepts
@20hawkar103 жыл бұрын
How did learning sympy augment your learning with this course?
@cosmicpuma14093 жыл бұрын
I am was not strong, when it came to maths at school but in in my "post-high school" education, I worked really hard and exceeded expectations. So much so, that my parents asked if I had cheated or paid someone to write my exams, lol...but this gave me the belief to overcome these fears I had, related to these "high school" shortcomings and changed my perception that DS, ML and AI were realms for other people, not me..... I have become really interested in these fields, ML and AI in particular. I am a long way from reaching my goals but your channel and recommendation are useful, awesome, insightful and inspiring. PS: His new courses starts today and I just watched this vid! 5th July 2021 - Thank You so much.
@princzcharming Жыл бұрын
@Cosmic Puma Dani?
@cosmingutu82563 жыл бұрын
Can you please say how it relates to the Mathematics for Machine Learning book, do you think the book is more comprehensive?
@rorshackattack52803 жыл бұрын
Thank you! I've wanted to do this specialization along with a Deep Learning specialization. I am more confident to proceed now :)
@brahimboughanam16623 жыл бұрын
thank you for your reviews. really I was confused about this course
@MarioLopez-eu8tj3 жыл бұрын
That's what i looking for some time ago. Thanks so much for the info Giles.
@tuvelout3 жыл бұрын
first thing after I started watching 0:05 the amount of open tabs📑
@shivaanshgusai25553 жыл бұрын
I am not the only one :D
@akashbhullar3 жыл бұрын
Which Browser is it?
@tuvelout3 жыл бұрын
@@akashbhullar It is probably Chrome
@MindfulSapient3 жыл бұрын
I am wondering why did they not include any course on probability and statistics in this specialization. I took these courses during my bachelor's in engineering but looking for a resource to revise the subjects. Is there any other specialization that includes a course on probability and statistics that you recommend?
@ishfaqahmad4002 жыл бұрын
Khan Academy is the best option for Statistics and Probability
@milindbebarta2226 Жыл бұрын
I'm doing the first course and its the best math course I have ever seen. What a teacher!!
@AungBaw3 жыл бұрын
About to do that one, thanks for inside review
@justamortalman3 жыл бұрын
Worth it! thankyou will check em out.
@Scythe61403 жыл бұрын
Actually I completed the first course of this specialization and having completed this far Idk why are people commenting that the assignments are hard. In fact those were totally based on lectures. After all this is the price you need to pay to learn something new and earn a certificate from a renowned institution. Otherwise just fast forwarding the lectures and solving just the petty assignment doesn't add any worth to your learning. Rather it is the best course for anyone who wants to equip themselves with the mathematical knowledge needed for machine learning.
@스머프-s7g3 жыл бұрын
I agree with you 100%, but I do also agree with some of the comments too As in, the course makes it seem like that the course ONLY needs begginer python skills, but you need more than beginner in actuality which makes it difficult then. While one should be able to learn independently, when the course makes it seem like one only needs beginner python skills, it is a bit unfair in that respect. In veracity, its more like, you can start with beginner python, but you will need at least intermediate level. For reference, I finished it too on the spectrum that is that I finished it without much difficulty at all, except for that last assignment. Edit There's also another side to it. The course makes it seem like you don't need much besides high school math, even excluding calculus. And that is true, however, that doesn't mean it will be easy like you stated. This I think can be explained is that people may not be used to this kind of difficulty.
@Scythe61403 жыл бұрын
@@스머프-s7g yes I agree that is is not that beginner friendly as learners expect it to be.
@optimizedpran12473 жыл бұрын
This guy is into programming but has old school British mathematician vibes
@byronwilliams79773 жыл бұрын
I think he has a degree in Physics from a top British Uni
@thanhnhando30703 жыл бұрын
What do you mean by 'old school British mathematician vibes'?
@xandercorp61753 жыл бұрын
@@thanhnhando3070 Which term do you not understand?
@mousquetairekrypton38693 жыл бұрын
PCA is more complicated than computing eigenvectors or multivariable calculus. Although PCA is part of multivariable calculus.
@therzook3 жыл бұрын
I am scanning through skills required for ML, very helpful indeed, at least I know I will be able to do maths ;)
@tauriqabdullah61303 жыл бұрын
What's your thought on Khan Academy? I haven't done math since I was in high school(2009) and I'm revising it from the ground up. I started with pre-algebra, on Algebra 1 now. Why am I doing this? I'm interested in Data science.
@duraace65113 жыл бұрын
Maybe you are doing it so that you can secure a future? It’s important nowadays to master mathematical tools and I wish you good luck. And it’s smart indeed to start refreshing your memory doing high school algebra before diving into college undergraduate courses. It will certainly take time but don’t give up. In only one year, you can get some useful mathematical superpowers. You only get better by practicing. :)
@tauriqabdullah61302 жыл бұрын
@@duraace6511 Thanks so much for your comment. I've now covered algebra 1, 2 and high school geometry and I'm continuously revising each topic, not so much algebra 1 as you are constantly applying those principles anyway. Pre calculus next. :)
@jt0993 жыл бұрын
Great videos. plaining to take this in the near future. 😄 Cheer!
@philipmariposa306710 ай бұрын
I'm currently planning on taking the IBM AI enginerring course and am considering taking the Imperial College course in order to get my maths up to speed. Maths is far, far, far from my strong subject; I somehow managed to get an o'level and then avoided it until doing an Open University course on maths for science, in which I learnt more than I had in my school years. So... Am I likely to struggle with this course ? Is it a good foundation for ongoing ML & AI study ? Any snesible replies will be welcome. Thanks.
@lade_edal3 жыл бұрын
Giles, I was sceptical about this video as I don’t remember you ever anything slightly negative about a book or course you’ve reviewed. So I’m glad you pointed out that the third course is the weakest. However, you were still far too generous. Marc deisenroth has exceptionally poor pedagogical skills and as someone who has used, understood and applied PCA in my work for several years, I felt desperately sorry for anyone who came across this as their first exposure. The third course in this specialisation is simply not worth a student’s time.
@스머프-s7g3 жыл бұрын
In a previous video, he mentioned that he doesnt make videos about bad books and only the good ones. So, that may have something to do with it.
@blackfrancis333 жыл бұрын
Can you recommend a better source for a first course in PCA?
@lade_edal3 жыл бұрын
@@blackfrancis33 josh starmer’s channe, Statquest
@blackfrancis333 жыл бұрын
@@lade_edal I learned about random forests on that channel! Josh is a legend. Great suggestion, thanks!
@Berutoron3 жыл бұрын
I just posted my in-depth impressions of the course (the PCA part in particular) and then saw your comment. Well, I'm this person you feel sorry for haha. I don't "hate" the teacher per se - his relative awkwardness is relatable, honestly -, but the way he just throws notation and concepts at you while barely expanding upon or illustrating them is quite frustrating. The reading material he gives - which is taken from the textbook he wrote - is even worse in that respect. He has this way of writing about maths that sounds like it's to the point for anyone who's already a math wizard, but for people like me, it's just cryptic and discouraging. Why the course is the shortest of the 3 parts when it should easily be the longest and most step-by-step, I don't understand. But, as I said in my own impressions, at least I got to drill partial derivatives, so that's nice at least.
@brianbrian79023 жыл бұрын
I'm here early today I just wanna ask I'm completely new to python where do I start thank you very much in advance
@Elmapalm3 жыл бұрын
He has his own course for complete beginners and is very cost effective (the link is in his description)
@gl49893 жыл бұрын
Install it and try to solve some euler project questions
@ishansrivastava67593 жыл бұрын
You can take any basic course on coursera, edx or udemy and start learning. I personally liked python course from Jose Portilla on udemy. Good luck.
@ZahidHasan-cc8tf3 жыл бұрын
Corey Schafer channel on KZbin has best course on Python.
@-steady-82152 жыл бұрын
Does the first course teach enough linear algebra to be able to follow a university level ML course? I already know basic high school LA btw.
@rhondaverma63583 жыл бұрын
I love mathematics… I wish I were younger so I could become mathematician. Now I just work every day and come home ….
@gilesmcmullen3 жыл бұрын
Maybe you can find a way to do it.
@-steady-82152 жыл бұрын
Maybe. Just maybe.
@mariamqotob7673 жыл бұрын
Well, thanks to this video I'm ready to re-learn math the right way.. thank you.
@nayanukande5554 Жыл бұрын
Yes there are some challanging labs and programming assignment....but after clear understanding of concept I found easy to solve and the tip is if you exhausted dont do it.......do it with fresh mind.
@anamabdulrehman394810 ай бұрын
would you plz help me in the assignments?
@EssDubz3 жыл бұрын
Your justification for why the assignments weren't "too hard" was all the convincing I needed that this class is bad. If I have to spend extra time digging in more depth online then there is no point to take that course in the first place. I'll just save some time and go straight to the research online step. Why take a course where they don't teach you what you need to know?
@wavyduck12733 жыл бұрын
In the specialisation FAQ, you'll see: Q: "What background knowledge is necessary?" A: "High school maths knowledge is required. Basic knowledge of Python can come in handy, but is not necessary for courses 1 and 2. For course 3 (intermediate difficulty) you will need basic Python and numpy knowledge yo get through the assignments." If you have these prerequisites, you'll find you barely need to do any extra digging online. But do note that "highschool" refers to the British A-Levels, or the American AP exams. The maths in the American SAT is not sufficient. They assume you are ready to enter university, and this is just a brief glimpse into first-year at university. For the Linear Algebra course, they assume you are already comfortable with matrix operations (matrix multiplication, determinants, transpose, etc.). For the Multivariate Calculus course, they assume you're already comfortable with performing single-variable differentiation. They reintroduce these concepts that are required, but quickly gloss over it as it would be more of a refresher instead of a learning point. They quickly move on to more advanced concepts and how to use these concepts in basic applications for Machine Learning. The 3rd course, PCA, builds on these two courses and requires basic Python & numpy knowledge. In particular, being able to work with vectors and matrices in numpy. The course description also says this course is significantly more abstract, so it will require strong mathematical intuition and an understanding of some statistics (mean, variance, and covariance). It's a very good class, but it is a "beginner" class from the viewpoint of a university, not an average person.
@rahulahuja14123 жыл бұрын
Very useful review. Thank you.
@ControlTheGuh3 жыл бұрын
What I was looking for. Ty
@breakablec3 жыл бұрын
Sounds very compelling
@agracian13 жыл бұрын
Hi Gile, any thoughts on Andrew Ng's Deep Learning Specialization course?
@weronikawojtak20913 жыл бұрын
I was about to ask the same!
@_AverageGuy3 жыл бұрын
Definitely go for it! Andrew is one the few exceptional teachers who knows what he's teaching. You can tell from the amount of enrollments that he's a very good instructor. Totally worth it :)
@gilesmcmullen3 жыл бұрын
It's definitely one I'd like to review. I haven't had the time to take it yet, but am planning to.
@weronikawojtak20913 жыл бұрын
@@_AverageGuy thanks! :)
@스머프-s7g3 жыл бұрын
I agree with the point of that he's a great teacher and that the course is good and all of that, however, it should be noted that I think the course is better looked at as a way to gain a good foundation of the topic. Deep learning has branches such as computer vision, natural language, etc. He's covers them, however, obviously can't go all the way in depth. After the specialization, you should have a foundation of each branch, at leadt the ones covered, but be able to stem off to which to ever one you want. It should also be noted that I'm not saying that the course is covering the intuitions of each branch only, but I am also saying that it will be better suited for a foundation rather than making you an expert in each branch if that makes sense but at the same time, not a full out noob.
@alpborakirte8013 жыл бұрын
I enrolled in this course when i could free because of my school account but i now i cant get a certificate without upgrading my account. So the question is if i add the course in my linkedin without the certificate when i completed the course does it matter that i don't have a certificate?
@스머프-s7g3 жыл бұрын
It depends on how you look at it. Assuming, you have not finished the course. If you put it on your LinkedIn and state it in a way that precieves it to be competed in any close or explicit way, then that's just lying. Because by definition, you did not compete the course and the rest it self obvious. If you finished it but can't get the certificate, then with the same above logic, you finished the course, however, can't verify it. However, I don't think an employer will care if the certificate is on or not, especially when you should be examplifying what you learned through projects and real life stuff.
@kyng3863 жыл бұрын
Any recomendations, books or courses for learning algorithms?
@emenikeanigbogu93683 жыл бұрын
Honestly the Princeton algorithms part 1 and 2 courses are really good and so is the Stanford courses one. MIT OCW intro to algorithms is also really good.
@SCJonathan3 жыл бұрын
Genial Vídeo Bro!!
@fashionvella730 Жыл бұрын
What I think is if you haven't done the math before I recommend to first cover Khan academy algebra, linear algebra and calculas playlist
@j8279 ай бұрын
What are your thoughts on their MSc in Machine Learning and Data Science (online)?
@varun_.2 жыл бұрын
Hey, if i want to learn this course but can't buy, how can I learn from youtube
@anishray74013 жыл бұрын
Hey Giles. Thank you for the review. Is this course better than the free Mathematics for Machine learning book that you had suggested earlier on your channel? Is it worth to spend money on this specialization when that free book exists? I am asking since you had given a positive review about that book too.
@mateogomez86853 жыл бұрын
They actually use in the course for the final projects the Jupyter Notebooks that come with that book (I am not sure if the authors of both things are the same ones). But the book covers the three courses from the specialization, maybe not that deep, and a few more topics.
@anishray74013 жыл бұрын
@@mateogomez8685 Thanks. So the topics are covered in the book but just not in so much detail, right?
@mateogomez86853 жыл бұрын
@@anishray7401 It's been a while since I completed the specialization but I think so. Still, if you start it and you enjoy I think you should complete and having the book as complementary material or a guide for further readings
@anishray74013 жыл бұрын
@@mateogomez8685 thanks again. I was actually thinking of using only book and not the course. My original question was based on this idea itself. If I use only the book would I be able to learn all the required concepts thoroughly? Because if the Book is sufficient I wouldn't want to make an investment on the course since there are other courses that I need to do as well. If mathematics for machine learning book is good I might be able to use it as a replacement for the course. Do you think I can do that?
@mateogomez86853 жыл бұрын
@@anishray7401 Then, I think the books is okay. You can always dive deeper at some specific topic at Khan Academy, ritvikmath or StatQuest YT channels, for example 🤓
@samanwaybarman33163 жыл бұрын
Start reviewing bootcamps
@msid98703 жыл бұрын
Great video!
@gabrielsuarez88583 жыл бұрын
would you advise to begin with python ? or html / css / JS ?
@srikrishnanganesh616 Жыл бұрын
Python 😊
@sagargupta16153 жыл бұрын
Please make review on applied ai course.🙏
@blackfrancis333 жыл бұрын
Better to take this before or after learning a bit of machine learning?
@nijagunadarshan25293 жыл бұрын
Same question!
@richikchakraborty1782 жыл бұрын
Same Question
@maged40872 жыл бұрын
does this course help us with coding?
@simplypqz3 жыл бұрын
Is it THAT cold indoor?
@anishray74013 жыл бұрын
Can we audit this course for free without the certificate? Will all of the content be available if we audit it? Will the assignment problem solutions be available if we just audit the course?
@ЕлизаветаКалимуллина-ж5и3 жыл бұрын
You can audit these courses. When you audit a course you'll be able to see most of the course materials for free, but you won't be able to submit certain assignments or get grades for your work.
@rahafjw39273 жыл бұрын
does anyone have the notes for the specialization
@subhojeetlearning3 жыл бұрын
I am not good at Mathematics. Where do I start to improve my maths?
@스머프-s7g3 жыл бұрын
How "bad" are you? I'll just assume in a way that is general. Note, don't just learn how, learn why and and learn even more of the why. For instance, don't just know how to solve for f(x) in f(x) = 5x+7.learn why. Also, learn what it represents, how it correlates to other things, and basically everything else till your brain says f u. Brush up on high school maths on khan, like Algebra. After, you should learn the subjects of linear Algebra and calculus on places like MIT ocw. Where calculus should be single varient, multivarient, and mabey more if you want such as learning about differential equation. But basically, for now, single varient and multi. Or Calc 1 to 3. Where 3 is multivarient. Before calculus, limits will be used a lot in calculus, so make sure you understand them. You can also use helper resources like 3blue1browns KZbin channel. Desmos graphing calculator for graphing functions too. Also, don't read this like a gospel, just use it as pointers, besides the part where I told you to think of more than just the how. Khan academy should be used for lower level maths primarily, however, more of a secondary for undergraduate and above. Btw, depentednt on how much you want to know about mathematics, you obviously can't stop at calculus 3. But, should be at a point of where you can decide what to learn. As calculus 3 is the last stated material here, it may also be noted that the range of material stated ranges from high school to undergraduate. Edit, I forgot things like statistics and probability and other stuff. For this stuff that I forgot about, go to ocw and you can probulary take it anytime once you start the undergraduate stuff. You can also search up things like course requirements for math bachelors to find more courses.
@Dyslexic_Neuron3 жыл бұрын
is it availbale on udemy?
@lena1913 жыл бұрын
Anything about the price?
@Berutoron3 жыл бұрын
You don't pay for that specific course directly, but you sign up for Coursera Plus (which gives you access to the majority of paid Coursera courses, including this one). The monthly fee is about €40/month, and you can cancel whenever you want. The course took me 1 month to complete, but I had a lot of time on my hands: spent roughly 5 hours a day on it almost every day. 2 months (so, €80) might be a more realistic time frame if you don't have a ton of spare time to devote to it but still try to work at it a bit every day.
@thedailyepochs3383 жыл бұрын
What other materials did you use to solve the third specialisation of the course, i had troubles with it . Please include links and videos
@MuhammadBilal-zn2oy3 жыл бұрын
is MatLab required for this?
@gilesmcmullen3 жыл бұрын
No, just python.
@SuperNova233333 жыл бұрын
How did you gety past that first programming assignment in the PCA class? It was impossible........ It took me over 8 hours to do.
@Regimital3 жыл бұрын
I finished the Deep Learning specialization and would like to take another course/specialization and use my Coursera for students credit on another course. Which of these two is better to put on a resume when applying for a DS/ML/DL job? -Mathematics for Machine Learning (Imperial College London - this one) -Modern Application Development with Python on AWS (Amazon Web Services) I took part in a hackathon, where we used AWS, so I guess some cloud-based experience would be useful in an industry setting, that's why I am considering that specialization.
@hgftdtduf3 жыл бұрын
Can't open your courses link.😰
@스머프-s7g3 жыл бұрын
it works for me and the link itself appears correct, if its still not working, just go to Coursera and search Mathematics for Machine Learning Specialization
@lizarettflavour3 жыл бұрын
thank you =)))
@kitatanya3 жыл бұрын
Thanks
@knosmichail753 жыл бұрын
Having completed the course myself i would say its quite demanding in theoretical level (mathematics) and practical level (programming)...It's not a course for a beginner....
@wavyduck12733 жыл бұрын
it's 'beginner' from a viewpoint of a university, not the average person. the prerequisite mathematics is only at a high school / college (pre-university) level: some matrix operations and differentiation. it is certainly doable for students who are ready to enter university for data science, and just want to have a brief glimpse into what it's like. in that sense, it's a 'beginner' course.
@elp09bm13 жыл бұрын
thanks for the review, but I thought they should have added the Statistics and Probability course as well. I am designing syllabus for Mathematics for Machine Learning for my master's students. I think this is the course which I will consider.
@Sece12 жыл бұрын
Hi. Can you recommend a statistics and probablity course for machine learning?
@mustafashapaan71413 жыл бұрын
introductory level courses
@QasimKhan-nd8og3 жыл бұрын
does this specialization cover all the requisite maths for ML though?
@badreldin23 жыл бұрын
it does very well. I am doing Andrew Ng's machine learning course now after this specialization and it feels like a breeze. But if u are going for this specialization be ready to spend a lot of time outside of coursera on youtube and other places, i found the channel 3brown1blue very helpful compliment to the courses.
@QasimKhan-nd8og3 жыл бұрын
@@badreldin2 i was a bit worried that it doesnt cover probability and statistics and that the course on linear algebra is shorter than most university courses
@wavyduck12733 жыл бұрын
@@QasimKhan-nd8og you could do the "Advanced Statistics for Data Science" specialisation by Johns Hopkins University, but it's quite difficult and is more of a pure statistics course instead of applying it in data science.
@muhammadbinabdullah8849 Жыл бұрын
U sound like MarkGoldbridge....
@judededude3 жыл бұрын
Geeze - warning about this video - be prepared to learn