Machine Learning for the Quantified Self: On the Art of Learning

Frontiers Organoid intelligence (OI): the new frontier in

Symbolic Regression in Context of Machine Learning

Feature Engineering Based on Sensory Data, by Alessandro Zonta

Machine Learning: New Ideas and Tools in Environmental Science and

Survey of explainable artificial intelligence techniques for

Narrowing Reinforcement Learning: Overcoming the Cold Start Problem for Personalized Health Interventions

The Art Of Self Learning Shop Offers

Using Computationally-Determined Properties for Machine Learning

Ecological Momentary Assessment in Mental Health Research

Why is Machine Learning so popular? - From a techno geek's diary

A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC.

A First Course in Machine Learning [Book]

Show & Tell Projects Archive - Quantified Self

Recommender systems for IoT enabled quantified-self applications

Mathematical Foundations for Supervised Learning