Becoming Machine Learning Engineer

Goal

Output = Service/Product as Software integrating end-to-end ecosystem.

Summary of Skills

1. CS Fundamentals and Programming

   Data Structure

   • Stacks
   • queues
   • multi-D arrays
   • trees
   • graphs

   Algorithms

   • search
   • sort
   • optimisation
   • Dynamic programming

   Computation and Complexity

   • NP/P/NP-Complete
   • O()
   • approximate
   • heuristics

   Architecture

   • memory cache
   • bandwidth
   • deadlocks
   • distributed processing

2. Probability and Statistics

   • Bayes Net
   • Markov Decision Process
   • HMM

3. Data Modeling and Evaluation

4. Software Engineering and System Design

   • REST API
   • library calls
   • database queries
   • GUI
   • Scaling
   • Requirement analysis
   • modularity
   • version control
   • testing
   • documentation
   • DevOps

To be continued…