yuanxiaosc/Find-a-Machine-Learning-Job
找一份机器学习工作（算法工程师），需要提纲（算法能力）挈领（编程能力），充分准备。 本人学习和在找工作期间受到了很多前辈们的帮助，目前已经找到心仪的工作，撰写此文献给那些在求职路上有梦有汗水的人们！2020秋招算法，难度剧增！没有选择，只能迎难而上。
This guide provides a comprehensive roadmap for individuals aiming to secure a Machine Learning Engineer position. It offers advice on building a strong resume, understanding compensation expectations, and preparing for technical interviews. Aspiring AI/ML professionals, particularly those focusing on NLP, Computer Vision, or Knowledge Graphs, can leverage this resource to navigate the challenging job market.
No commits in the last 6 months.
Use this if you are actively seeking a Machine Learning Engineer role and need structured guidance on preparation, from resume writing to interview strategies.
Not ideal if you are a seasoned Machine Learning professional or are looking for a job in a different tech domain like front-end development or DevOps.
Stars
73
Forks
8
Language
—
License
—
Category
Last pushed
Jul 19, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yuanxiaosc/Find-a-Machine-Learning-Job"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
skygazer42/DL-Hub
llms 大模型 笔记50篇 此仓库包含关于机器学习、深度学习、计算机视觉、自然语言处理、大模型 爬虫等领域 项目实战
cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
foochane/books
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘...
PaddlePaddle/awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
openAGI/tefla
Tensorflow based deep-learning library.