harshit158/intuitive-shorts

A collection of intuitive explanations and short summaries (hence the name "Intuitive Shorts") of important and interesting ML/NLP/CV concepts

This repository is a collection of intuitive explanations and short summaries (hence the name "Intuitive Shorts") of important and interesting ML/NLP/CV concepts

Machine Learning

Topic	Link
✔️ Sampling Methods	Link
✔️ Re-Sampling Methods: Cross Validation and Bootstrapping	Link
✔️ Ensembling Methods	Link
✔️ KL Divergence	Link
✔️ Anomaly Detection	Link
✔️ ML Design Patterns (Notes from the book)	Link: 1. Model Training Patterns Link: 2. Design Patterns for Resilient Serving
➖ Time Series Analysis	Coming Soon
➖ Recommendation Engines	Coming Soon
➖ Generative VS Discriminative modelling	Coming soon
➖ Parametrics Vs Non-parametric modelling	Coming soon
➖ MLE Vs MAP	Coming soon
➖ Assumptions behind ML Algorithms	Coming soon
➖ Dimensionality Reduction	Coming soon
➖ Clustering	Coming soon
➖ Hyperparameter Optimization	Coming soon
➖ Optimizers	Coming soon
➖ Types of Normalizations	Coming soon

Natural Language Processing (NLP)

Topic	Link
✔️ Softmax-Temperature	Link
✔️ State-Less Vs State-Full LSTMs	Link
✔️ Naive Bayes	Link
✔️ Transformer based Models	Link
➖ Text Augmentation techniques	Coming Soon
➖ Adversarial Attacks in NLP	Coming Soon
➖ Statistical Language Modelling	Coming Soon
➖ Conditional Random Fields	Coming Soon
➖ Sampling techniques in decoders	Coming Soon
➖ Types of Attention	Coming Soon
➖ Approaches for getting Sentence-Embeddings	Coming Soon
➖ Different tokenizers	Coming Soon

Miscellaneous questions

Topic	Link
✔️ When to apply Feature Scaling for Linear Regression	Link

Case Studies

Topic	Link
✔️ How LinkedIn used NLP to design Help Search System	Link

Paper Readings

| Topic | Link |

ML-OPs

| Topic | Link |

Parameter Calculation

Topic	Link
✔️ Number of Parameters in a CNN	Link
✔️ Number of Parameters in a LSTM	Link
✔️ Number of Parameters in a RNN	Link