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Books
The Kaggle Book
Competition Tasks and Metrics
Designing Goog Validation
Modeling for Tabular Competitions
Hyperparameter Optimization
Ensembling
Modeling for Computer Vision
Modeling for NLP
Simulation and Optimization Competitions
Designing a Goog Validation System
Mathematics
Everything You Always Wanted To Know About Mathematics
Designing ML Systems
1 - Overview of ML Systems
2 - Introduction to ML Systems Design
3 - Data Engineering Fundamentals
4 - Training Data
5 - Feature Engineering
6 - Model Development And Offline Evaluation
7 - Model Deployment And Prediction Service
8 - Data Distribution Shifts And Monitoring
9 - Continual Learning And Test In Production
10 - Infrastructure And Tooling For MLOps
11 - The Human Side Of Machine Learning
Machine Learning Design Interview
1 - ML Primer
2 - Common Recommendation System Components
3 - ML Use Cases From Top Companies
4 - YouTube Video Recommendation
5 - LinkedIn Feed Ranking
6 - Ad Click Prediction
7 - Airbnb Rental Search Ranking
8 - Estimate Food Delivery Time
9 - ML Assessment
Python for DevOps
Chapter 2 - Automating Files and The FileSystem
Chapter 3 - Working With The Command Line
Chapter 4 - Useful Linux Utilities
Chapter 5 - Package Management
Chapter 6 - CI/CD
Chapter 7 - Monitoring and Logging
Chapter 8 - Pytest For DevOps
Chapter 9 - Cloud Computing
Chapter 10 - Infrastructure As A Code
Chapter 11 - Containers: Docker
Chapter 12 - Container Orchestration: Kubernetes
Chapter 13 - Serverless
Chapter 14 - MLOps and MLE
Chapter 15 - Data Engineering
Bug Bounty Bootcamp
Chapter 1
Getting Started Becoming a Master Hacker
Chapter 1
Practical Machine Learning for Computer Vision
Chapter 1
Machine Learning Engineering
Chapter 1
Applied Machine Learning Explainability Techniques
Chapter 1
The Machine Learning Solutions Architect Handbook
Chapter 1