【申請】 Clustering And Dimensionality Reduction - Deep Dive

公佈欄 StudyCamp 助學計畫
1

課程名稱： Clustering And Dimensionality Reduction - Deep Dive

課程連結： Clustering And Dimensionality Reduction - Deep Dive

想要學習的技能或知識：Unsupervised Machine Learning

選擇課程的動機：
無監督式學習相較於監督式學習，是個較困難的主題，Udemy上的相關課程幾乎不是價格較貴就是品質不佳，但這門課程看起來對於該主題有著詳盡的介紹，而且價格也非常實惠，因此沒有不選擇這門課課程的理由。

未來應用：
可以應用在資料探勘上

2個讚
2

Hey everyone,

I’m Dalibor, the creator of the “Clustering And Dimensionality Reduction - Deep Dive” course.

First of all, thanks for choosing my course, I genuinely hope you’re finding it valuable!

I noticed some traffic from this forum to my course page, so I thought I’d drop by and share a discount link with you all (link is active until 03/12/2024 10:09 AM PDT): https://www.udemy.com/course/clustering-and-dimensionality-reduction-deep-dive/?couponCode=5AD73BD1A40F544BED3B

Feel free to pass this link along to anyone interested in taking the course.

Cheers,
Dalibor

2個讚
3

Hello Dalibor,

It’s wonderful to see you here. Thank you for creating such an outstanding course. I believe it’s the most comprehensive unsupervised machine learning course available on Udemy. Additionally, I have a couple of questions:

  1. Would it be possible for you to share the slides used in the course? I find taking notes directly on the slides to be very helpful.
  2. Are you considering adding materials or creating a separate course covering Gaussian Mixture Model and t-SNE?

Remark: If you have more course discount codes in the future and need help spreading the word, please feel free to contact me in this forum. I would be more than happy to help publicize them for you.

Thank you once again for your valuable course.

Best regards,
Howard

4

Hi Howard,

I’m glad you like the course; I did put a lot of effort into building it! Thanks for the support !

Regarding your questions:

  1. Unfortunately, I cannot share the slides due to copyright reasons. I apologize for this.
  2. I do plan on creating learning materials on Gaussian Mixture Models, but I am not sure where I will publish them. I plan on creating a small website dedicated to this course, and I do plan on attaching a small blog where I will be adding articles on a few algorithms + some case studies. I will most likely include Gaussian Mixture Models there, but I am not sure about the timeline since currently, I am focused on other plans. Not sure if I will be covering t-SNE since it is very similar to UMAP, and UMAP usually performs better.

Of course, I’ll be more than happy to share discount links here whenever I have them!

If you have other questions/feedback regarding the course feel free to ask/share.

best regards,
Dalibor