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Record a list of reading resource and progress from a entry level data scientist to a machine learning engineer

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yenchenchou/mle-career-path

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Career_Learning_Path

This is the repo for anyone interested in the field of data science. Topic including people who wants to persue the followings:

  1. Software Engineer, Data Infra/Platform
  2. Data Engineer
  3. Data Scientist, Analytics
  4. Machine Learning Engineer (CS Focus)

Data Structure and Algorithm

A collection if practice on Leetcode and other concepts include:

  1. Basic concepts
  2. Common tricks and patterns for each questions
  3. Covered questions so far
  4. Reference answer and analysis for each leetcode question
  5. Language specific concepts. A collection if practice on Leetcode and other concepts include:

MLOps

A collection of common tools related to MLOps

  1. Airflow
  2. Docker
  3. Kubernetes
  4. Helm
  5. CI/CD pipieline, CircleCI

Machine Learning

This topics covers several subtopics to fit people want to focus on different works:

  1. Regular Machine Learning
  2. Deep Learning
    • Natural Language Processing
      • Paper
      • Concept
      • Code
    • Recommendation System
      • Paper
      • Concept
      • Code
  3. Use MLOps to deploy ML

Case Study

This is more like a collections of case studies for all posistions. Each topic covers how to implemented in real practiced

  1. Software Engineer, Data Infra/Platform
  2. Data Engineer
  3. Data Scientist, Analytics
    • Product Questions for Data Scientist
  4. Machine Learning Engineer (CS Focus)

Stats

This topic is solely covered for a Data Scientist, Analytics

Database

The topic will devided into:

  1. Relational Databses
  2. NoSQL
  3. Data Lake
  4. Other Readings

Distributed System

This will cover no only common distributed systems such as Spark but aslo other parellel processing tools like Dask.

Cloud

A collection of basic cloud computing conpects, computer networking, and AWS related topics

  1. Cloud
  2. Comuter Networking
  3. AWS

Shell

This is about some basic shell and file systems in Unix system. It helps you to get more familiar with topics like AWS or MLOPs.

Web Dev

System Design

This will cover regular system design and things that focus on ML system design.

General System Design

Object Oriented Design

Interiew Collection

This a collection of past interview questions on a company level. Each Company may contain software engineer, data engineer, data scientist, or machine learning engineer, according to the company's open positions.

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Record a list of reading resource and progress from a entry level data scientist to a machine learning engineer

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