Machine Learning Process
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Machine Learning Process
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The first step to our process will be to run out to the local grocery store and buy up a bunch of different beers and wine as well as get some equipment to do our measurements a spectrometer for measuring the color and a hydrometer to measure the alcohol content Our grocery store has an electronics hardware section Gathering Data What is machine learning? Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
Machine Learning ProcessWe try to think of the Machine Learning process as: Formulating a Question. Finding and Understanding the Data. Cleaning the Data and Feature Engineering. Choosing a Model. Tuning and Evaluating. Using the Model and Presenting Results. 1. Formulating a Question. Step by Step Process Probability Statistical Methods Linear Algebra Optimization Calculus Beginner Python Skills Understand ML Algorithms ML Weka no code ML Python scikit learn ML R caret Time Series Forecasting Data Preparation Intermediate Code ML Algorithms XGBoost Algorithm Imbalanced Classification Deep Learning Keras