AI & ML Interview Questions and Answers with Roshani Kumari

AI & ML Interview Questions and Answers — Handwritten Notes

Beginner to Advanced | Easy Explanations | Interview Preparation

Prepare for Artificial Intelligence and Machine Learning interviews with these handwritten notes by Roshani Kumari.

These notes cover important AI/ML concepts, machine learning algorithms, model evaluation techniques, deep learning, modern AI topics and interview preparation in an organized, beginner-friendly format.

What You Will Learn

- Introduction to Artificial Intelligence, Machine Learning and Deep Learning

- Machine Learning types, datasets, features and labels

- Data preprocessing and important ML algorithms

- Linear Regression, Logistic Regression, Decision Trees and Random Forest

- KNN, SVM, Naive Bayes, K-Means and PCA

- Model evaluation metrics, ROC-AUC and cross-validation

- Overfitting, underfitting, bias-variance and regularization

- Neural Networks, Gradient Descent and Backpropagation

- CNN, RNN, NLP, Transformers and Generative AI

- Python libraries for AI and ML

- Explainable AI, ethics and deployment basics

- Important AI/ML interview questions, formulas and practice questions

Key Features

- Easy-to-understand explanations

- Handwritten notes format

- Important diagrams and examples

- Organized topics for systematic learning

- Quick revision material for interview preparation

- Practice questions and a learning roadmap

Who Should Use These Notes?

- College students

- Beginners learning AI and Machine Learning

- Students preparing for technical interviews

- Python learners exploring AI/ML

- Anyone who wants to revise important AI/ML concepts

Prepared by: Roshani Kumari

Start learning AI and Machine Learning concepts and revise important topics with these handwritten notes.