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added videos and tips for starters for machine learning #530

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25 changes: 25 additions & 0 deletions Machine-Learning/Sources.md
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Expand Up @@ -16,8 +16,10 @@ category: Libraries
* [C/C++](#cpp)
* [Algorithms](#algorithms)
* [Popular Datasets](#popular-datasets)
* [Videos](#videos)
* [Relevant Research Papers](#relevant-research-papers)
* [Podcasts](#podcasts)
* [Tips for Freshers](#tips-for-freshers)


### Books
Expand Down Expand Up @@ -186,6 +188,14 @@ category: Libraries

[⬆ Back to Top](#table-of-contents)

### Videos

* [Hindi Machine Learning Tutorials](https://www.youtube.com/playlist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH)
* [English Machine Learning Tutorials](https://www.youtube.com/playlist?list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy)

[⬆ Back to Top](#table-of-contents)



### Relevant Research Papers

Expand All @@ -207,3 +217,18 @@ category: Libraries
* [Partially Derivative](http://partiallyderivative.com/)

[⬆ Back to Top](#table-of-contents)

### Tips for Freshers

If you're new to machine learning, here are some tips to get started:

* **Take Your Time**: Don't rush through the subject; take time to understand each concept thoroughly.
* **Build Projects**: Practical experience is crucial; try implementing projects to apply what you learn.
* **Bridge Theory and Practice**: There's often a gap between theory and practice; focus on practical applications.
* **Start from Basics**: Build a strong foundation by starting with fundamental concepts.
* **Overcome Challenges**: If you get stuck, don't hesitate to revisit topics and seek clarification.
* **Explore Deep Learning**: Once comfortable with basics, explore deep learning techniques.
* **Understand Transformers**: To understand advanced models like ChatGPT, delve into transformer architectures.

[⬆ Back to Top](#table-of-contents)