You two are genuinely the reason I think this is even possibly understandable/achievable for me. Starting with math and web dev (already been learning those) then switching to data science/machine learning/AI (in that order). Couldn't help but jump into python for a week and it's so easy it just made me want to get through web dev quicker so I can be there already.🤣 Thank you both so much.
Pursuing a goal as a data scientist, I've been trying to study statistics which I actually learned before. I didn't know where to start and how to make my statistics review as efficient as possible. This is what I've been exactly looking for! Thank you so much for sharing this amazing content! ❤
This is exactly what I have been looking for! Thanks a lot for your explanation about it, I think I will take this course before Coursera IBM Data Science course. I’m really interested in machine learning stuff but I really feel as impostor about mathematics.
I was just browsing this course a few days ago and looking for some review and then there is your video! It's really informative, thank you so much. I'll definitely try it out after I finish other courses on Coursera! 😍
Thanks for the review. I've been curious about this class, and it sounds like it is perfect for me. Just wish it was included in the coursera plus subscription....
I appreciate you recommend these specific books together with the course, as I noticed online courses typically don't cover the subject on a very deep level. This course seems to stand out as it is a package covering the 3 building blocks of DS. Nice that they have a free trial to check it out - as what would really sell the course for me is if it has plenty of high quality interactive assignments :)
@1:20 Positive definite refers also to the quadric equation you were trying to optimize. Yeah, the problem is that students in multivariable calculus know how to use the "second derivative test" to find extreme values of functions of two independent variables, but they never read their textbooks showing where the "formula" comes from. Doing so would reveal how to solve this problem in your vid. The positive definite part is simply the "formula" that students were using when it's greater than 0, which students memorize as knowing then that the function has a max or min, and not a saddle point.
to be exactly precise on p values. It is all with respect to null hypothesis. We define our null hypothesis to be mean1 == mean2 and do your t test on sample1 and sample 2. The result of the t test would spit out t-statistic and the p value. How are we now suppose to infer the p value ? >> suppose we get a p value of 0.158, so this tells us that - given our null hypothesis is true which is mean 1 == mean 2. There is a 15% chance that we see a sample (mean2) of this extreme which is giving mean1 != mean2 , assuming our hypothesis to be true mean1 == mean2 .
I love your videos. I have a similar story with you. I'm just concluding a degree in Econs and trying to transition to data science so your videos are not only educative but Inspiring. Thank you very much and keep doing what you're doing
Hi... Thanks for sharing your experience with us and mentoring us in our Data Science Learning Journey... I am a self learner... I have learned basics Linear Algebra, Calculus, Probability, Statistics... But, I couldn't connect the dots... Where and how these concepts will be used on data in real time... It will be very helpful if you can post a video explaining the scenarios where we face issues on data and which maths concept can be used to solve the same... Thank You....
Really appreciate these types of videos. Out of curiosity, is geospatial data science something that interests you/something that you might make videos about?
Hey there ! Can you tell me how the students who graduated from A levels with biology background with little to no knowledge about computer and its systems can enter into data science career? I hope you will make videos coz you don't disappoint your listeners.
Xin Chao Thu, your video's are awsome and informative. I'm studying data analytics at the moment but I'm wondering since I live in vietnam is there any oppurtunities for me to be able to work remote in a junior position ?
First two courses are pretty solid. However, the third course has been postponed several times already, which is annoying. For example, the course was supposed to start on Apr19 Then it was moved to Apr24. Today I looked at the date, and now it says May31
Would you recommend this coruse for someone who is familiar with python but hasn't yet created any data science project. I want to learn data science but I'm not sure where to start. Would starting here with math be a good starting point?
Chị có thể làm video full course 10h từ cawl data tới, clean data sau đó data visually tới xây dựng mô hình được ko ạ, em mong đợi nhiều hơn những video có thể học được, thay vì
Sister, I'm Arjun from India. I'm doing bachelor's degree in mathematics you're good motivation for me in the field of data science and I need to learn DSA. so, could please suggest me
Hi.. i need your help in my profession. I am in taxation department and have to analyse 100's of spread sheet generated by different platforms.. please guide which language or set of skills i should learn to improve my performance and work efficiently. Please guide looking forward for your response
Xin Chao Thu, your video's are awsome and informative. I'm studying data analytics at the moment but I'm wondering since I live in vietnam is there any oppurtunities for me to be able to work remote in a junior position ?
The review we've been waiting for! 🙌🏼
She stole your "data nerd" term. Did you catch that? 😂
Thanks Luke for checking out the vid! 🙌
@@andreyseas🤣
You two are genuinely the reason I think this is even possibly understandable/achievable for me. Starting with math and web dev (already been learning those) then switching to data science/machine learning/AI (in that order). Couldn't help but jump into python for a week and it's so easy it just made me want to get through web dev quicker so I can be there already.🤣 Thank you both so much.
@@programmingjobesch7291 You rock!! That's awesome :D All the best with everything 🤓
Thank you for such a thorough review! I’m glad you liked the specialization.
And yes you pronounced my name very well! :)
Oh I’m glad! Thank you and happy new year 🎆🎊
I completed it. Pretty good. Some assignments are tough, but feel rewarding when you complete them.
is being in pre-calc highschool right now good enough to understand the course?
@@alexw5298 You should know some python basics in order to do the assignment in the end of every week
Hi data nerds, check out the new Mathematics for Machine Learning and Data Science Specialization here: imp.i384100.net/ORVPyN
Pursuing a goal as a data scientist, I've been trying to study statistics which I actually learned before. I didn't know where to start and how to make my statistics review as efficient as possible. This is what I've been exactly looking for! Thank you so much for sharing this amazing content! ❤
Love it. Especially your experience when facing error from the library. Thank you a lot for compiling these resources.
This is very helpful. Thanks for the course review!
This is a good source. It would be easier to learn math if that course came earlier. Also I should add that u look amazing as usual.
This is exactly what I have been looking for! Thanks a lot for your explanation about it, I think I will take this course before Coursera IBM Data Science course. I’m really interested in machine learning stuff but I really feel as impostor about mathematics.
Same
I'm in love with the way you are talking about DS!)
I am currently following the course on Coursera. Very good content!!
can you do it while taking precalc in high school?
Hey pal thanks for the review, pretty good job, and yes said and pronounced well the name.
Haha I’m glad to know! Thanks 🙏
love your voice. it's amazing. have not heard such beautiful voice before in my entire life
I was just browsing this course a few days ago and looking for some review and then there is your video! It's really informative, thank you so much. I'll definitely try it out after I finish other courses on Coursera! 😍
Thanks Cindy! I’m so glad it was helpful! Good luck with your courses 🙌🙌
Thanks for the review. I've been curious about this class, and it sounds like it is perfect for me. Just wish it was included in the coursera plus subscription....
I appreciate you recommend these specific books together with the course, as I noticed online courses typically don't cover the subject on a very deep level. This course seems to stand out as it is a package covering the 3 building blocks of DS. Nice that they have a free trial to check it out - as what would really sell the course for me is if it has plenty of high quality interactive assignments :)
Absolutely agree! I think the assignments are really valuable as you don’t have them when learning by yourself
@1:20 Positive definite refers also to the quadric equation you were trying to optimize. Yeah, the problem is that students in multivariable calculus know how to use the "second derivative test" to find extreme values of functions of two independent variables, but they never read their textbooks showing where the "formula" comes from. Doing so would reveal how to solve this problem in your vid. The positive definite part is simply the "formula" that students were using when it's greater than 0, which students memorize as knowing then that the function has a max or min, and not a saddle point.
Thank you for the info.
Just what I needed ! Thank you :D !
to be exactly precise on p values.
It is all with respect to null hypothesis.
We define our null hypothesis to be mean1 == mean2 and do your t test on sample1 and sample 2.
The result of the t test would spit out t-statistic and the p value.
How are we now suppose to infer the p value ?
>> suppose we get a p value of 0.158, so this tells us that - given our null hypothesis is true which is mean 1 == mean 2. There is a 15% chance that we see a sample (mean2) of this extreme which is giving mean1 != mean2 , assuming our hypothesis to be true mean1 == mean2 .
I love your videos. I have a similar story with you. I'm just concluding a degree in Econs and trying to transition to data science so your videos are not only educative but Inspiring. Thank you very much and keep doing what you're doing
Thank you Ifeanyi, that means a lot to me 🙌
You're welcome
Thank you, again, Thu Vu. Like button is smushed!
Great video thanks! I appreciate the books recommendations, it's always great to have that kind of details in your videos
Another Great video by the great Thu Vu,Thanks
so cool, thank you
Hi...
Thanks for sharing your experience with us and mentoring us in our Data Science Learning Journey... I am a self learner... I have learned basics Linear Algebra, Calculus, Probability, Statistics... But, I couldn't connect the dots... Where and how these concepts will be used on data in real time... It will be very helpful if you can post a video explaining the scenarios where we face issues on data and which maths concept can be used to solve the same...
Thank You....
Great video, just what I needed. No excuse for me not to learn math !
I need to learn more about basic requirements for ML .
Do make similar videos for Quantum Computing if and when you study it. It would be interesting to see and learn from the approach you would take.
Haha I’ll try some time 😅
Really appreciate these types of videos. Out of curiosity, is geospatial data science something that interests you/something that you might make videos about?
Yes absolutely, it’s on my list 🙌
You can also check out a free trial for each course in the specialization separately.
Hey there ! Can you tell me how the students who graduated from A levels with biology background with little to no knowledge about computer and its systems can enter into data science career? I hope you will make videos coz you don't disappoint your listeners.
Xin Chao Thu, your video's are awsome and informative. I'm studying data analytics at the moment but I'm wondering since I live in vietnam is there any oppurtunities for me to be able to work remote in a junior position ?
Interesting
And what you advise me for learning Data Engineer ?
First two courses are pretty solid. However, the third course has been postponed several times already, which is annoying. For example, the course was supposed to start on Apr19 Then it was moved to Apr24. Today I looked at the date, and now it says May31
I noticed the same, it’s indeed a bit unfortunate:(
@@Thuvu5 Hi Thu, what happens to our course subscription validity, does it automatically gets extended for the 3rd course ?
This is the very reason that most Comp Sci majors have an automatic Mathematics Minor.
Is linear algebra and calculus needed to become data analyst?
My biggest fear is to lack of time....
Hello, which one do you think is better, this one or the Imperial College London one?
dùng những video này để tìm hiểu thêm và lấy động lực ngồi vào học
Would you recommend this coruse for someone who is familiar with python but hasn't yet created any data science project. I want to learn data science but I'm not sure where to start. Would starting here with math be a good starting point?
What book fo calculus and Linear Álgebra for ML do you recommend? Thanks !
Hi, you can find the books I recommended in the description :)
@@Thuvu5 I dont seet books regarding Calculus or Algebra in the description
I've slept through high school Trigonometry is it a pre-requisite?
Chị có thể làm video full course 10h từ cawl data tới, clean data sau đó data visually tới xây dựng mô hình được ko ạ, em mong đợi nhiều hơn những video có thể học được, thay vì
Kiếm sách đọc thôi bạn.
Should i do the mathematics course before the machine learning specialization?
Please send one video I want to learn sql
Is book available this now?????
Which specialization should I go with? This one, or the one by Imperial College London? Any suggestions guys?
I had a question should i pressure a career in bs. Maths or statistics
Sister, I'm Arjun from India. I'm doing bachelor's degree in mathematics you're good motivation for me in the field of data science and I need to learn DSA. so, could please suggest me
Is it lucrative to get a master's degree in Artificial Intelligence & Deep learning?
Hi.. i need your help in my profession. I am in taxation department and have to analyse 100's of spread sheet generated by different platforms.. please guide which language or set of skills i should learn to improve my performance and work efficiently. Please guide looking forward for your response
I'd recommend you look into VBA to automate the task :)
Hi thu vu 😊😊😊
I like you ❤️❤️❤️
I'm from India, and you..?
It's not related to ML and Data Science, but I miss your long hair 😉
The specialization doesn't require any math just high school math, skip video lol
its programming assingments are shit ! they fail miserebly even after writing the correct core . csnt even grade properly
Plz reply now
Not sure its an objective review if its sponsored by coursera
I’m afraid not, because I love Coursera so much 😅. But I tried to be as objective as I could, Coursera didn’t require me to give nice review anyway😜
Xin Chao Thu, your video's are awsome and informative. I'm studying data analytics at the moment but I'm wondering since I live in vietnam is there any oppurtunities for me to be able to work remote in a junior position ?