931 claims over the last 90 days
The goal of general intelligence is to adapt to anything, not to be prepared for everything.
Intelligence is the ability to make sense of new problems on the fly, not a-priori competence.
General intelligence consists in showing intelligence regardless of the problem.
A book titled 'Machine Learning for Data Streams' provides practical examples in Massive Online Analysis as part of the MIT Press Adaptive Computation and Machine Learning series.
The book 'Data Mining Techniques for Marketing, Sales and CRM' is impressively educational and demonstrates algorithms of data science and machine learning in real practical business application contexts.
The 4th edition of Artificial Intelligence: A Modern Approach covers deep learning, transfer learning, multi-agent systems, robotics, natural language processing, causality, and more.
Transfer learning allows knowledge to be reused at an enterprise level, so experience gained once can be repeatedly applied to real-world problems.
Transfer learning makes AI systems more reliable and robust, preventing them from deviating too much from expected performance under unforeseeable changes.
Transfer learning enables machine learning systems to leverage auxiliary data and models to solve target problems with small amounts of data.
The Art of Computer Programming by Donald Knuth is the classic book on programming.
Data Science for Business is a 5-star classic and essential reading for understanding data mining and data-analytic thinking.
Neural Smithing is a classic Machine Learning book for learning neural network fundamentals.
This book is a foundational resource for reinforcement learning.
Claude models are better at inferring intent from design work where GPT is more rigid and needs more specific feedback for tweaks
LLM-generated text now exhibits at least 38 identifiable clichéd patterns
There are now 38 identifiable patterns of clichéd language produced by LLMs