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Data science/ML/AI
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Data science and machine learning hub

Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources.

For beginners, data scientists and ML engineers
👉 https://rebrand.ly/bigdatachannels

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Contact: @mldatascientist
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Deep Learning Do It Yourself!

This site collects resources to learn Deep Learning in the form of Modules available through the sidebar on the left.

https://dataflowr.github.io/website/


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The Periodic Table Of Data Science
🔗 Book link


#machinelearning #ml #datascience

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Lectures for UC Berkeley CS 182: Deep Learning
Spring 2021

🎬 66 videos
26 hours

https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

#deeplearning

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The Incredible PyTorch
A curated list of tutorials, papers, projects, communities and more relating to PyTorch.

https://www.ritchieng.com/the-incredible-pytorch/

#pytorch

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FOUNDATIONS OF MACHINE LEARNING
by Bloomberg
Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning

🎬 30 video lessons with slides
28 hours

https://bloomberg.github.io/foml/#home

#machinelearning #ml

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Intro to Machine Learning
by Kaggle
Learn the core ideas in machine learning, and build your first models.

1 How Models Work
The first step if you're new to machine learning.

2 Basic Data Exploration
Load and understand your data.

3 Your First Machine Learning Model
Building your first model. Hurray!

4 Model Validation
Measure the performance of your model, so you can test and compare alternatives.

5 Underfitting and Overfitting
Fine-tune your model for better performance.

6 Random Forests
Using a more sophisticated machine learning algorithm.

7 Machine Learning Competitions
Enter the world of machine learning competitions to keep improving and see your progress.

🔗 Course link

#machinelearning #ml

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The R Programming For Data Science A-Z Complete Diploma 2022
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 38,584
Duration : 5h 6min
🔗 Course link

Free for first 1000 enrollments
Forwarded from Free programming books
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Knowledge Graphs Course
Data Models, Knowledge Acquisition, Inference and Applications
Department of Computer Science, Stanford University, Spring 2021

10 weeks, each week has slides and video lessons 📽

https://web.stanford.edu/class/cs520/

#datascience #machinelearning #tensorflow #scikitlearn #keras


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Forwarded from Cool GitHub repositories
data-science
This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World.

Creator: ossu
Stars ⭐️: 14.5k
Forked By: 2.6k
GithubRepo:https://github.com/ossu/data-science

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