dl-visuals
start-machine-learning
| dl-visuals | start-machine-learning | |
|---|---|---|
| 4 | 45 | |
| 1,330 | 4,125 | |
| - | - | |
| 0.0 | 5.8 | |
| almost 3 years ago | 27 days ago | |
| Creative Commons Attribution 4.0 | MIT License |
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.
dl-visuals
start-machine-learning
- Can anyone provide me a roadmap for learning AI and Data science?
-
Is it Possible to Work in AI without a Formal Degree in Computer Science?
Yes, I mean the second. What technologies do you use and what's your mansion? Then I found this repository on GitHub https://github.com/louisfb01/start-machine-learning, should it be a good roadmap to follow in your opinion?
-
Suggestions for my future(Long Post)
Someone posted this a year ago but must have updated it for 2023.
-
I want to learn Artificial Intelligence from beginning.
AI learning roadmap
-
Start learning the basics of AI and ML now.
For anyone wanting to dive and have no idea where to start, someone posted this to a programming sub a while ago and I bookmarked it.
-
Any path to learn?
Hi, we have a guide in our community we share for this full of free learning resources online: https://github.com/louisfb01/start-machine-learning
-
A friendly approach to ML (2022-just updated)!
The guide: https://www.louisbouchard.ai/learnai/ GitHub repo: https://github.com/louisfb01/start-machine-learning
- A Complete Roadmap for learning Machine Learning with many valuable resources + staying up-to-date with the news. Intended for anyone having zero or a small background in programming, maths, and machine learning.
What are some alternatives?
every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
VoxelAssets - CC0 or CC-BY voxel-related assets
PES-2021-Cheat-Table - Cheat Table for eFootball PES 2021
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
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.
audio-ai-timeline - A timeline of the latest AI models for audio generation, starting in 2023!
nexify.io - Develop your skills with programming courses, explained step by step, to learn by building things.
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
python-awesome - Learn Python, Easy to learn, Awesome
awesome-ai-residency - List of AI Residency Programs
ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).