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🔅 Introduction to AI-Native Vector Databases
🌐 Author: Zain Hasan
🔰 Level: Intermediate
⏰ Duration: 2h 47m
📗 Topics: Vector Databases, Large Language Models, Artificial Intelligence
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🌀 Learn how data and AI professionals can optimize data systems using AI.
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🔅 Machine Learning and AI Foundations: Advanced Decision Trees with KNIME
🌐 Author: Keith McCormick
🔰 Level: Advanced
⏰ Duration: 1h 33m
📗 Topics: Decision Trees, Knime, Machine Learning
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🌀 Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
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Machine_Learning_and_AI_Foundations:_Advanced_Decision_Trees_with.zip
258.4 MB
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AI is learning very fast.
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📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy
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03_Develop_Face_Recognition_Model_with_Machine_Learning_from_Scratch.zip
447.6 MB
03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 01
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03_Develop_Face_Recognition_Model_with_Machine_Learning_from_Scratch.zip
476 MB
03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 02
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03_Develop_Face_Recognition_Model_with_Machine_Learning_from_Scratch.zip
484.7 MB
03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 03
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03_Develop_Face_Recognition_Model_with_Machine_Learning_from_Scratch.zip
85.1 MB
03 - Develop Face Recognition Model with Machine Learning from Scratch - Part 04
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04_Face_Recognition_Project_Integrating_HTML_Model_to_Flask_App.zip
424.2 MB
04 - Face Recognition Project (Integrating HTML Model to Flask App)
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06 - Deploying in another open-course cloud.zip
66.6 MB
06 - Deploying in another open-course cloud
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