What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)?

#artificialintelligence

A discussion of three major approaches to building smart machines - Classic AI, Simple Neural Networks, and Biological Neural Networks - and examples as to how each approach might address the same problem.



Machine Learning 101-- Supervised Learning

#artificialintelligence

Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your power would rely on you guessing the hidden structure which ultimately leads in you learning more about it. Using technical terminologies, unsupervised learning best describes the latter. Past experiences on the other hand, is real data with clear labels and answers to the question you are trying to answer.


dennybritz/reinforcement-learning

#artificialintelligence

In addition to exercises and solution, each folder also contains a list of learning goals, a brief concept summary, and links to the relevant readings. All code is written in Python 3 and uses RL environments from OpenAI Gym. Advanced techniques use Tensorflow for neural network implementations.


The Best Machine Learning Resources – Machine Learning for Humans – Medium

#artificialintelligence

For those considering an autodidactic alternative, this is for you. You can't go deeply into every machine learning topic. There's too much to learn, and the field is advancing rapidly. Motivation is far more important than micro-optimizing a learning strategy for some long-term academic or career goal. If you're trying to force yourself forward, you'll slow down.