The steps in the machine learning workflow

Previous post            Tweet Tags: Machine Learning, MATLAB, Workflow We outline preprocessing steps for finding, removing, and cleaning data to prepare it for machine learning and how tools like MATLAB can help with data exploration, identification of key traits, and communicating the findings. By Seth DeLand, Product Marketing Manager, Data Analytics, MathWorks Machine learning is ubiquitous. From medical diagnosis, speech, and handwriting recognition to automated trading and movie recommendations, machine learning techniques are being used to make critical business and life decisions every moment of the day. Each problem is unique, so it can be challenging to manage raw data, identify the right data to include in the model, train multiple types of models, and perform model assessments. Choosing Your Algorithm and Technique Machine learning uses algorithms that…

Link to Full Article: The steps in the machine learning workflow

Pin It on Pinterest

Share This