With a basic background in multivariate statistics, but no background in machine learning, what are some "practical, getting started" resources for developing machine learning models for soft real-time analysis in intraday trading? Ultimately, I would like to adapt my existing algorithm and indicators with an ML model that filters out false-positives and weak signals, and only trades (or indicates) strong/high probability setups.
I'm still going through Google's Machine Learning Crash Course.