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Added three useful resource #26

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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -50,6 +50,7 @@ Follow [News about AI projects](https://news.llmlab.io/)
| FAANG companies actual MLE interviews | Read [interview stories](https://mlengineer.io/mlengineer-io-interview/home) |
| Practice coding | [Leetcode questions by categories for MLE](https://mlengineer.io/common-leetcode-questions-by-categories-532b301130b) |
| Advance topics | Read [advance topics](extra.md) |
| How to begin your journey as a machine learning engineer?| Read [Machine Learning Roadmap](https://www.scaler.com/blog/machine-learning-roadmap/) |



Expand Down Expand Up @@ -111,6 +112,7 @@ Follow [News about AI projects](https://news.llmlab.io/)
* [Quantile regression](https://www.youtube.com/watch?v=s203ScTy4xQ&t=954s)
* [L1/L2 intuition](https://www.linkedin.com/pulse/intuitive-visual-explanation-differences-between-l1-l2-xiaoli-chen/)
* [Decision tree and Random Forest fundamental](https://people.csail.mit.edu/dsontag/courses/ml16/slides/lecture11.pdf)
* [Decision tree in Machine Learning](https://www.appliedaicourse.com/blog/decision-tree-in-machine-learning/)
* [Explain boosting](https://web.stanford.edu/~hastie/TALKS/boost.pdf)
* [Least Square as Maximum Likelihood Estimator](https://www.youtube.com/watch?v=_-Gnu498s3o)
* [Maximum Likelihood Estimator introduction](https://www.youtube.com/watch?v=WflqTUOvdik&t=15s)
Expand All @@ -130,6 +132,7 @@ Follow [News about AI projects](https://news.llmlab.io/)
* [Loss and optimization](http://cs231n.stanford.edu/slides/2020/lecture_3.pdf)
* [Convolution Neural network notes](https://cs231n.github.io/convolutional-networks/)
* [Recurrent Neural Networks](http://cs231n.stanford.edu/slides/2020/lecture_10.pdf)
* [RNN - Full Guide](https://www.appliedaicourse.com/blog/what-is-recurrent-neural-network-rnn/)



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