coursera-deep-learning-specialization
start-machine-learning
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coursera-deep-learning-specialization
start-machine-learning
- Can anyone provide me a roadmap for learning AI and Data science?
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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?
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Suggestions for my future(Long Post)
Someone posted this a year ago but must have updated it for 2023.
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I want to learn Artificial Intelligence from beginning.
AI learning roadmap
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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.
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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
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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?
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
PES-2021-Cheat-Table - Cheat Table for eFootball PES 2021
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.
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.
Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
audio-ai-timeline - A timeline of the latest AI models for audio generation, starting in 2023!
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
nexify.io - Develop your skills with programming courses, explained step by step, to learn by building things.
Soevnn - A neural net with a terminal-based testing program.
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)