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Machine Learning Engineering

  • Data Ingestion
  • Data Storage
  • Data Processing
  • Processing Orchestration
  • Workspaces
  • Frequentist A/B Testing
  • Bayesian A/B Testing
  • Multi-Armed Bandit
  • Impact Estimation
  • Scaling Basic Models
  • Scaling Deep Learning Models
  • Model Validation
  • Productionization
  • Data Hosting
  • Model Hosting
  • All Notes
  • 1 - Introduction
  • 2 - Visual Search System
  • 3 - Google Street View Blurring System
  • 4 - YouTube Video Search
  • 5 - Harmful Content Detection
  • 6 - Video Recommendation System
  • 7 - Event Recommendation System
  • 8 - Ad Click Prediction on Social Platforms
  • 9 - Similar Listings On Vacation Rentals
  • 10 - Personalized News Feed
  • 11 - People You May Know
  • System Design - The Big Archive
  • Chapter 1 - Different Tiers in Software Architecture
  • Chapter 2 - Web Architecture
  • Chapter 3 - Scalability
  • Chapter 4 - High Availability
  • Chapter 5 - Load Balancing
  • Chapter 6 - Monolith vs. Microservice
  • Chapter 7 - Micro Frontends
  • Chapter 8 - Database
  • Chapter 9 - Caching
  • Chapter 10 - Message Queue
  • Chapter 11 - Stream Processing
  • Chapter 12 - More On Architecture
  • Chapter 13 - Picking the Right Technology
  • Chapter 14 - Case Studies
  • Chapter 15 - Mobile Apps
  • Course Introduction
  • Introducing Google Cloud
  • Getting Started with Google Cloud
  • Virtual Machines
  • Storage
  • Containers
  • Applications
  • Developing, Deploying and Monitoring
  • Big Data and Machine Learning
  • Summary & Review
  • Helpful Links
  • 1.Data Engineering
  • 2.Exploratory Data Analysis
  • 3.Modeling, Part 1: General ML and DL
  • 4.Modeling, Part 2: Amazon SageMaker
  • 5.Modeling, Part 3: High-Level ML Services
  • 6.Modeling, Part 4: Wrapping Up and Labs
  • 7.ML Implementation and Operations
  • 8. Wrapping Up & Practice Exams
  • Cheat Sheet - SageMaker Built-in Algorithms
  • Cheat Sheet - AWS Certified - ML Specialty
  • AWS Certified - ML Specialty - Training Notes
  • AWS Certified - ML Specialty - Study Guide - Book Summary
  • AWS Well-Architected Framework
  • Chapter 1 - Introduction
  • Chapter 2 - Before the Project Starts
  • Chapter 3 - Data Collection and Preparation
  • Chapter 4 - Feature Engineering
  • Chapter 5 - Supervised Model Training - Part 1
  • Chapter 6 - Supervised Model Training - Part 2
  • Chapter 7 - Model Evaluation
  • Chapter 8 - Model Deployment
  • Chapter 9 - Model Serving, Monitoring, and Maintenance
  • Chapter 10 - Conclusion
  • Scalable Machine Learning
  • Machine Learning in Production
  • Deep Learning with Databricks
  • Databricks - Generative AI Engineering - Certification Preparation
  • Data Engineering
  • Machine Learning
  • Data Warehousing
  • Delta Lake
  • Developer Tools
  • Security & Compliance
  • Data Governance
  • The Big Book of GenAI
  • The Big Book of MLOps
  • The Big Book of MLOps - 2nd Edition + LLMOps
  • The Big Book of ML Use Cases
  • The Big Book of ML Use Cases - 2nd Edition
  • The Big Book of Data Science Use Cases - 2nd Edition
  • The Big Book of Data Engineering - 2nd Edition
  • Scale.ai - AI Readiness Report 2022
  • Photon Technical Overview
  • ML Engineering for the Real World
  • CIO Vision 2025: Bridging the gap between BI and AI
  • How to Automate Your ML Pipeline
  • Modern Analytics with Azure Databricks
  • Getting Started with NLP using HuggingFace
  • Delta Live Tables
  • The Composable Customer Data Platform
  • Data Management 101 on Databricks
  • Data Engineers Guide to Apache Spark and Delta Lake
  • Delta Lake Cheat Sheet (Python)
  • Databricks Notebook Gallery
  • MLOps and MLE on Databricks
  • A Compact Guide to Large Language Models
  • 8 Steps to Becoming an AI-Forward Retailer
  • Collaborating Across the Retail Value Chain With Data and AI
  • Big Book of Retail & Consumer Goods Use Cases
  • Improving On-Shelf Availability for Items With AI Out of Stock Modeling
  • Comprehensive Guide to Optimize Databricks, Spark and Delta Lake Workloads
  • PySpark Review
  • Azure Fundamentals
  • List of Cloud Platform Services
  • System Design