AI and Machine Learning – Telegram
AI and Machine Learning
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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
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05 - Deploy Web App in Heroku Cloud.zip
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05 - Deploy Web App in Heroku Cloud
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06 - Deploying in another open-course cloud.zip
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06 - Deploying in another open-course cloud
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07 - Appendix - Python Crash Course.zip
449.6 MB
07 - Appendix - Python Crash Course
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08 - [Optional] Flask Crash Course.zip
339.3 MB
08 - [Optional] Flask Crash Course
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🔅 OpenCV for Python Developers

🌐 Author: Patrick W. Crawford
🔰 Level: Intermediate

Duration: 3h 5m

🌀 Learn how to harness the image-processing power of OpenCV to develop Python noscripts that manipulate photos, create custom video streams, and even perform object and face tracking.


📗 Topics: Computer Vision, Python, OpenCV

📤 Download Full Course
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🔅 Microsoft Designer: Create Stunning Designs with the Power of AI

🌐 Author: Nick Brazzi
🔰 Level: General

Duration: 31m

🌀 Use Microsoft Designer to create incredible graphics with AI-powered creation and editing tools.


📗 Topics: Microsoft Designer, Artificial Intelligence for Business, Artificial Intelligence for Design

📤 Join Artificial intelligence for more courses
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02. Create and manage designs with AI assistance
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💰 Calculating GPU memory for serving LLMs
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If you need to share an ML model for web app development, create an API instead of saving it to a file. This avoids environment and security issues, allows access from various languages and platforms, and simplifies integration. Here's how to make an ML API with FastAPI.
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🔅 Reinforcement Learning with Stable Baselines 3 - Introduction (P.1)

Welcome to a tutorial series covering how to do reinforcement learning with the Stable Baselines 3 (SB3) package. The objective of the SB3 library is to be for reinforcement learning like what sklearn is for general machine learning.
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🔅 Saving and Loading Models - Stable Baselines 3 Tutorial (P.2)

How to save and load models in Stable Baselines 3
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