Prerequisites: DSCI 6001. Essential elements of machine learning, with a focused introduction to core supervised and unsupervised learning algorithms, statistical modeling, and key best practice techniques for building well-trained models. Designed with coding lab practice to develop implementation skills. Students may receive exemption from prerequisites at the instructor's discretion. 3 credits.