Learn AI. Know AI. rLemma_
As of today, you can explore 10 Learning Paths and 4 Specializations – and counting!
And it’s Absolutely Free Forever. Period
Robotics Lemmatization
Neural Networks for Non-Mathematicians
General Intelligence (AGI)
Super Intelligence (ASI)
Learning Paths and Career Ladders
Choose from 8 Learning Paths focused on theoretical aspects of AI, but goes deep into the concept.
Robotics Automation
Neural Networks
NLP Mathematics
Sentimental Analysis
Comms. Mining
AI Ideation
GenAI Models
NLP: Tokenization
Artificial Intelligence Specialization covers RPA, Generative AI Models, AI Ideation & Prototyping
Natural Language Processing Specialization covers Tokenization, Sentimental Analysis & Neural MT
Machine Learning Specialization covers Neural Networks (with practical modules)
Natural Language Processing also includes Mathematics (Vectorization – TF-IDF, Pre-processing, etc.)
Feeling Overwhelmed? Let’s go with the basics:
One word is all it takes. Search rLemma_
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Origin of rLemma [n.]
Short for Robotics Lemmatization. It is the practice of breaking down complex AI and automation into their simplest, most essential parts—the “Lemmas” or fundamental building blocks of intelligence.
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