Locchuong96 / machine-learning

supervised, unsupervised learning, reinforcement learning, neural network, deep learning,etc.

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Magic words

  [keyword] + [magic word]

tutorial,explaination,build from scratch,backpropagation,paper,repo,build from source

Tool & platform

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miniconda | hntrends | kaggle | google colab | tensorflow | pytorch | keras | kdnuggets | paperswithcode | machinelearningcoban | diagrameditor | math | openai | LaTex | medium | machinelearningmastery | tensorflow-hub | sciencefriday | statictical | make scene | datascience | Caffe | datascience-enthusiast | ml-interviews-book | leimao | google-code | dat-trandeeplake | neurohive | imagenet | khanhblog | ml blog | spacy | mvtec | Uber AI | Uber Data

install gimp

sudo apt update
sudo apt install snapd
sudo snap install gimp

Data sources

datahub | kaggle | academictorrents

Compiler Online

Compiler-explorer CUDA

Roadmap

No Level Action Status Deadline
01 Beginner Take a online course 2021
02 Watching youtube courses and redo what you learned 2022-1
03 Read books and write code by yourself 2022-2
04 Understand the math problems behind the code 2022-2
05 Write Machine learning algorithms without tools, library or dependenices... 2022-2
06 Learn from many sources (ex: videos,books,documents,...) 2022-2
07 Learn and read official docs tensorflow,keras,pytorch... 2022-2
08 Intermediate Use what you got with real datasets 2022-3
09 Embark Kaggle and do some 2022-3
10 Get a certificate from tensorflow, coursera... or any famous Organizations 2022-3
11 Take some famous course like CS329S or CS231n,... 2022-4
12 Be profesional on Kaggle 2022-9
13 Attend some events,seminars or webinars 2022
14 Enroll in open source ML projects for non-profit 2022-4
15 Get a part-time or freelance jobs and get money 2022-4
16 Get a full-time job and do ML for living
17 Embark many competitions and win
18 Understand ML repositories from some of famous guys
19 Build a model with just it's work flow
20 Write your own ML repo like some of pro guy
21 Read and understand ML papers
22 Advanced Build a ML application from idea
23 Write a paper
24 Write a book
25 Teaching ML course
26 Complete your math skill
27 Professional Do research

References

https://www.youtube.com/watch?v=wcs4dz2rnFw

https://pytorch-geometric.readthedocs.io/en/latest/get_started/colabs.html

https://uvadlc-notebooks.readthedocs.io/en/latest/index.html

https://www.youtube.com/@outliier/videos

https://www.youtube.com/watch?v=awyWND506NY

https://www.youtube.com/watch?v=IA3WxTTPXqQ

https://www.youtube.com/watch?v=dMkiOex_cKU

https://developer.nvidia.com/cuda-gpus

https://tiensu.github.io/about/

https://hackernoon.com/

https://distill.pub/

https://otexts.com/fpp3/

https://github.com/aladdinpersson/Machine-Learning-Collection#Object-Detection

https://datascience.stackexchange.com/

assemblyai

paddle-paddle

JAX

time-series

OpenVino

XGBoost

Onnx

zakjost

spacy

mtm-python-oop

MultiTemplateMatching-Python

Machine learning course google

Feature Extraction

About

supervised, unsupervised learning, reinforcement learning, neural network, deep learning,etc.


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