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Machine learning—a technique in which a computer churns through data and, in effect, writes its own program based on the statistical relationships it discovers—is one of the most effective means of extracting all that value. Machine learning generally involves two steps: an algorithm is first trained on known data and is then unleashed to solve
... See moreMartin Ford • Rise of the Robots: Technology and the Threat of a Jobless Future
machine learning is about finding the interdependencies/relationships between data.
Suresh Samudrala • Machine Intelligence : Demystifying Machine Learning, Neural Networks and Deep Learning
on metalabeling – i.e., finding the probability of profit of your own simple basic trading strategy, and not to use it to predict the market directly. Why?
Ernest P. Chan • Quantitative Trading
Basing one’s decision on existing data is known as the empirical method. The concept of empirical data-backed decision-making is an integral component of statistical modeling and machine learning.
Oliver Theobald • Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition)
You'll be going over a type of ensemble model called bagged decision stumps, which is very close to an approach used constantly in industry called the random forest model.
John W. Foreman • Data Smart: Using Data Science to Transform Information into Insight
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
Machine learning is not magic; it’s just multidimensional curve fitting.