ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Inspired by Coding Interview University. Translations: Brazilian Portuguese | 中文版本 | Français | 臺灣華語版本 How I (Nam Vu) plan to become a machine learning engineer This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer. My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the Math for the beginner. This approach is unconventional because it’s the top-down and results-first approach designed for software engineers. Please, feel free to make any contributions you feel will make it better. I'm following this plan to prepare for my near-future job: Machine learning engineer. I've been building native mobile applications (Android/iOS/Blackberry) since 2011. I have a Software Engineering degree, not a Computer Science degree. I have an itty-bitty amount of basic knowledge about: Calculus, Linear Algebra, Discrete Mathematics, Probability & Statistics from university. Think…
Read the full README ↗ · Preview checked 2026-10-27T00:16:20.491Z
Inside the original README — Document outline
- Top-down learning path: Machine Learning for Software Engineers
- What is it?
- Table of Contents
- Why use it?
- How to use it
- Follow me
- Don't feel you aren't smart enough
- About Video Resources
- Prerequisite Knowledge
- The Daily Plan
- Motivation
- Machine learning overview
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
- Brazilian Portuguese
- 中文版本
- Français
- 臺灣華語版本
- Machine Learning: An In-Depth Guide
- More about Github-flavored markdown
- Gentle Guide to Machine Learning
- Reinforcement Learning: An Introduction (2nd Edition)
- mathematicalmonk's Machine Learning tutorials
- 16 New Must Watch Tutorials, Courses on Machine Learning
- 21 Deep Learning Videos, Tutorials & Courses on Youtube from 2016
- 30 Top Videos, Tutorials & Courses on Machine Learning & Artificial Intelligence from 2016
Documentation belongs to its respective authors. Reported project/model license: CC-BY-SA-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
A complete daily plan for studying to become a machine learning engineer.
Repository facts
- Owner
- ZuzooVn
- Primary language
- Not reported
- Stars
- 28,879
- Forks
- 6,142
- Open issues + pull requests
- 34
- License
- CC-BY-SA-4.0
- Archived
- No
- Default branch
- master
- Created
- 2016-10-09T21:20:25.000Z
- Last push
- 2024-06-11T04:49:29.000Z
Topics and intended use
Owner-supplied topics: artificial-intelligence, deep-learning, machine-learning, machine-learning-algorithms, software-engineer
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