Your English is so perfect, and your voice is so clear, I could listen to your training forever...The way you communicate the topic is superb. As a beginner in the topic, I understood right away.
Thanks Galit for such a clear explanation ! The visuals - formulae, example and ur explanation went really well together and helped to understand the concept easily!!
This is a fantastic video for studying time series! I have one small question: at 6:18 the teacher explained that trailing MA with window W almost equals to SES with alpha = 2/(W+1). I did not quite understand this part. Could anyone please explain a bit on how the conclusion is derived? Thanks!
But you only gave an example for SES where you used the last forecast value, alpha, and the error. Where is the example on a weighted average for a series of past values?
Finally!!! This lecturer is highly technical, but does a superb job of explaining everything!!!
You are more than I could imagine , simple , clear , short and also digged deep.
Your English is so perfect, and your voice is so clear, I could listen to your training forever...The way you communicate the topic is superb. As a beginner in the topic, I understood right away.
It's really a great series of videos explaining time series analysis!!
Thanks Galit for such a clear explanation ! The visuals - formulae, example and ur explanation went really well together and helped to understand the concept easily!!
At 3:35 L(t) = ... should be L(t+1) = ... .Do you agree? (nice lecture by the way)
This is a fantastic video for studying time series! I have one small question: at 6:18 the teacher explained that trailing MA with window W almost equals to SES with alpha = 2/(W+1). I did not quite understand this part. Could anyone please explain a bit on how the conclusion is derived? Thanks!
God of data science 🙏🏼
This is fantastic - thank you, Galit!
although back in 2016 , but super explanation. sharp and crystal !
Very well explained, thank you Prof.
Thanks for this great effort. Appreciated!
By Lt and Lt-1, I assume this is the same as notation in your book that uses the Ft and Ft-1 for the forecast value?
Nice explanation ⚘
But you only gave an example for SES where you used the last forecast value, alpha, and the error. Where is the example on a weighted average for a series of past values?
how beautiful and easy explain. Thanks
So how exactly could you forecast the values beyond the 1 period immediately succeeding the last available historical data?
fantastic staff
Amazing video
Thanks, Very helpful!
What is exact meaning of level?
Thanks, Very helpful
thank you, great video :)
You are awesome!!
super job.. thanks..
super useful, ty!
You are a fucking treasure