Telegram Web Link
Channel photo updated
Hands on ML notebook series

Updated our ultimate post with a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.


GithubLink: https://bit.ly/3eiwAdH

Join @bigdataspecialist for more similar content.
Core machine learning concepts explained through memes and simple charts. This 120-pages pdf document is created by Mihail Eric.
Forwarded from Artificial Intelligence
1621505896741.pdf
7.7 MB
One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.
👩‍🎓Online lectures on Special Topics in AI: Deep Learning

Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more.

Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html

#wheretostart #lectures #YouTube
Dannjs - Easy Deep Neural Networks for the Web
🔗 https://dannjs.org
Fully Connected Neural Networks with Keras

n this course, we'll build three different neural networks with Keras, using Tensorflow for the backend. Keras is a high level API for building neural networks, and makes it very easy to get started with only a few lines of code.

🔗 Neural Networks with Keras free course link
How to choose a database-type and technology for your project:
Data Preparation in SQL, with Cheat Sheet!
2024/10/05 03:25:09
Back to Top
HTML Embed Code: