machine-learning-roadmap VS system-design-interview

Compare machine-learning-roadmap vs system-design-interview and see what are their differences.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them. (by mrdbourke)
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machine-learning-roadmap system-design-interview
5 12
7,164 20,961
- -
0.0 0.0
over 1 year ago about 1 year ago
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

machine-learning-roadmap

Posts with mentions or reviews of machine-learning-roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

system-design-interview

Posts with mentions or reviews of system-design-interview. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-17.

What are some alternatives?

When comparing machine-learning-roadmap and system-design-interview you can also consider the following projects:

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-scalability - The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

low-level-design-primer - Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Hello-Kaggle - For someone who is new at Kaggle

system_design - Preparation links and resources for system design questions

Knet.jl - Koç University deep learning framework.

dsa.js-data-structures-algorithms-javascript - 🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook