well, at the end of the lecture, the big data part seems to be disparate or simplified from those in the lecture note: Chapter 22 - Big Data, is this suggesting that other knowledge in Chapter 22 shall be self-studied? or there would be a new lecture specialized in Chapter 22? And when can we expect this new lecture? Thanks a lot! :)
It should have been edited out (the syllabus used to have only a brief mention of Big Data , but now it has been expanded). Thank you for reminding us. A new lecture will be added in due course, but in the meantime the notes should be clear enough (and there are no calculations), but if you do have any problems with the chapter then do ask in the Ask the Tutor Forum on our free website.
@@opentuition Yeah, this chapter is not quantitative, but I do enjoy Mr. John's lecture, and hopefully the lecture for big data provided by him will be published in the near future. Thanks also for your quick reply!
I think his voice and little sounds he makes are the best part. It makes the lecture no boring. And his accent it is actually very clear what it is a great thing for people like me where English is not our mother tongue. Also he speaks slow what it is a great relieve. I love him
Thanks for uploading the lecturers for part A
Thankyou!!
well, at the end of the lecture, the big data part seems to be disparate or simplified from those in the lecture note: Chapter 22 - Big Data, is this suggesting that other knowledge in Chapter 22 shall be self-studied? or there would be a new lecture specialized in Chapter 22? And when can we expect this new lecture? Thanks a lot! :)
It should have been edited out (the syllabus used to have only a brief mention of Big Data , but now it has been expanded). Thank you for reminding us. A new lecture will be added in due course, but in the meantime the notes should be clear enough (and there are no calculations), but if you do have any problems with the chapter then do ask in the Ask the Tutor Forum on our free website.
@@opentuition Yeah, this chapter is not quantitative, but I do enjoy Mr. John's lecture, and hopefully the lecture for big data provided by him will be published in the near future. Thanks also for your quick reply!
@@muzcesky4550 You are welcome :-)
Wow Big data you made it simple❤❤❤
What is his nam. I love him
The voice is not ok . It can be better if you hold the microphone on you suit near to you neck or chest !
It is okay 🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙂🙃🙂🙃🙃🙂🙃🙃.
Have you written PM ?
I think his voice and little sounds he makes are the best part. It makes the lecture no boring. And his accent it is actually very clear what it is a great thing for people like me where English is not our mother tongue. Also he speaks slow what it is a great relieve. I love him
8:17 ermmm you might want to edit this out lol
Thank you - we certainly will :-)
@@bell581 I don’t think so.