Introduction to Machine Learning
Requisites: course 32 or Program in Computing 10C; Civil and Environmental Engineering 110 or Electrical and Computer Engineering 131A or Mathematics 170A or 170E or Statistics 100A; Mathematics 33A.
Unlocks in every department▾ 26 courses across 6 departments, 8 choice points · 2 requisite links run off the edge of this view
COM SCI M146 — Introduction to Machine Learning COM SCI M146 Introduction to Machin… COM SCI 32 — Introduction to Computer Science II COM SCI 32 Introduction to Comput… COM SCI 31 — Introduction to Computer Science I COM SCI 31 Introduction to Comput… C&EE 110 — Introduction to Probability and Statistics for Engineers C&EE 110 Introduction to Probab… MATH 32A — Calculus of Several Variables MATH 32A Calculus of Several Va… MATH 31A — Differential and Integral Calculus MATH 31A Differential and Integ… MATH 33A — Linear Algebra and Applications MATH 33A Linear Algebra and App… COMPTNG 10C — Advanced Programming COMPTNG 10C Advanced Programming COMPTNG 10B — Intermediate Programming COMPTNG 10B Intermediate Programmi… EC ENGR 131A — Probability and Statistics EC ENGR 131A Probability and Statis… MATH 32B — Calculus of Several Variables MATH 32B Calculus of Several Va… MATH 31B — Integration and Infinite Series MATH 31B Integration and Infini… MATH 33B — Differential Equations MATH 33B Differential Equations MATH 3B — Calculus for Life Sciences Students MATH 3B Calculus for Life Scie… MATH 3A — Calculus for Life Sciences Students MATH 3A Calculus for Life Scie… STATS 100A — Introduction to Probability STATS 100A Introduction to Probab… MATH 170A — Probability Theory I MATH 170A Probability Theory I MATH 131A — Analysis MATH 131A Analysis MATH 170E — Introduction to Probability and Statistics 1: Probability MATH 170E Introduction to Probab… COM SCI C160F — Foundation Models: Principles and Practice COM SCI C160F Foundation Models: Pri… COM SCI 162 — Natural Language Processing COM SCI 162 Natural Language Proce… COM SCI 163 — Deep Learning for Computer Vision COM SCI 163 Deep Learning for Comp… STATS C163 — Generative Data Science STATS C163 Generative Data Science COM SCI 247 — Advanced Data Mining COM SCI 247 Advanced Data Mining COM SCI C260F — Foundation Models: Principles and Practice COM SCI C260F Foundation Models: Pri… COM SCI 261 — Deep Generative Models COM SCI 261 Deep Generative Models Also satisfied by COM SCI 145, not drawn in this view. one of +1 Also satisfied by COM SCI C124, COM SCI 145, COM SCI M148, COM SCI 161, not drawn in this view; and by EC ENGR C147, EC ENGR 149, which UCLA names as a requisite but does not publish in this catalog. one of +6 Also satisfied by COM SCI 145, not drawn in this view. one of +1 one of one of Also satisfied by COMPTNG 10A, not drawn in this view. one of +1 one of Also satisfied by STATS C161, EC ENGR M146, MATH 156, not drawn in this view; and by EC ENGR C147, which UCLA names as a requisite but does not publish in this catalog. one of +4 click a course to read it · double-click to redraw the map around it