Machine Learning Notes by Ikram Ali

Greetings! I am Ikram Ali, and I excel at founding and developing machine learning engineering and data science teams. My current focus areas are NLP (Natural Language Processing) and MLOps, where I am passionate about advancing these technologies.

My career strategy involves a deep commitment to mastering the multidisciplinary skills essential for leading data science initiatives. This includes not only Research and Data Engineering but also Machine Learning Engineering and comprehensive Project Management, spanning Agile and Product Management techniques. My broad skill set allows me to efficiently lead cross-functional teams and effectively tackle the challenges of transitioning a model from its initial ideation through to full-scale production.

• https://www.linkedin.com/in/akkefa/

• https://www.github.com/akkefa

I would like to offer concise definitions and comprehensible explanations of Machine Learning and Deep Learning.

Contents

• ML Notation / Equations

Probability

• What is Probability
• Bayes Theorem
• Random Variables
• Discrete Distributions
• Continuous Distributions
• Joint Distributions
• Covariance and Correlation
• Estimators and Sampling Distributions
• Moments Generating Functions
• Maximum Likelihood Estimation
• Confidence Interval
• Hypothesis Testing

Calculus

• Introduction
• Derivatives and Partial Derivatives

Algebra

• Algebra Introduction

Machine Learning

• What is Machine Learning?
• Logistic Regression
• Non Parametric Models
• Decision Tree

Deep learning

• What is Deep Learning
• Vectors, Matrices, and Tensors
• Loss Functions
• Evaluation Metrics

Mathematics

• Linear Algebra
• Statistics

Algorithms

• Sorting Algorithms
• Graphs Data Structure
• Tree Data Structure
• Shortest Path Algorithms
• Greedy Algorithms

Graph Theory

• What is Graphs Theory
• Graph Neural Networks
• Graph Equations

Learn Pytorch

• Pytorch Fundamental
• Pytorch Workflow
• PyTorch Neural Network Classification

Recommendation System

• Recommendation Systems
• Matrix Factorization

Practice

• Probability solutions
• R Solutions

Indices and tables

• Index

• Module Index

• Search Page