如何在 8 个月内学习 ML？一名大三学生感到迷茫与焦虑 [R]
How to Learn ML in 8 months, Feel lost and I am very stressed :( [R]
一名大三学生在 r/MachineLearning 发帖求助，称虽修过大量 ML 课程却仍感迷茫，每次都要从回归重新学起，也不知道什么数据该用什么算法。他正为求职做准备，可选方向只有 ML+信号处理或模拟设计，希望获得学习路径与资源建议，涵盖深度学习、音频、图像、NLP 和基础 ML，以及可用于练习 ML 编码的平台。
Dear All,
I am a penultimate-year student, have had courses in my Univ for ML but I still feel lost, I don't remember anything about the definitions, have to start back at regression every time, don't know what type of Algorithms to apply on what kind of data, I have taken way too many courses but to no avail. I feel helpless and stuck at this point. I have to prepare for different companies but my only choices are ML+Signal Processing or Analog Design.
I don't know how much AI/ML i should know as a penultimate year student? Should I know theory, should I do projects and if I do projects should I code them from the very base, the coding seems too big and I don't know how I can just take a random architecture and code it from scratch.
I prefer ML strongly as despite being much weak in it I find it exciting. I find Analog Design easier but am very unsure about my interest in it in the long run.
Please guide me how can I become an AI/ML engineer capable of applying for companies, have the knowledge to ace their tests and interviews, and in general be able to think like a ML engineer.
Please guide me and provide me with relevant resources I should follow- Deep learning, Audio, Image, NLP, Intro to basic ML. Please also provide me with any relevant platforms I could use to learn a bit of ML Coding too. Will be very thankful to you.
Thank you Everyone!
submitted by /u/AerieBeautiful8188
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来源：r/MachineLearning · reddit.com