This course will teach you how to use machine-learning techniques to explore, analyze, and leverage data. You will learn how to design an approach to take advantage of data using the steps in the ML process, apply machine learning (ML) techniques to find and prepare data for modeling, identify the type of machine learning problem to apply the appropriate set of techniques, make models that learn from data using the available open source tools, and analyze big data problems using scalable machine learning algorithms on Spark.
By the end of the course, you can use machine learning to make sense of the volumes of data you have collected and incorporate data-driven decisions into your process.
🆓 Free to Audit
🕒 Approx. 21 Hours
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by The University of California San Diego via Coursera
