COMP_SCI 349: Machine Learning VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Prerequisites: COMP_SCI grad standing OR (COMP_SCI 214 and (MATH 240-0 or GEN_ENG 205-1 or GEN_ENG 206-1) and (IEMS ...

Dennis, who plans to pursue a career in tech policy, is bridging her own knowledge gap through a new graduate course, “Machine Learning: A Practical Introduction for Humanists and Social Scientists.” ...

This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

Machine learning uses tools from statistics, mathematics, and computer science for a broad range of problems in data analytics. The course introduces a range of optimisation methods that play ...

CSCA 5622: Introduction to Machine Learning: Supervised Learning CSCA 5622: Introduction to Machine Learning: Supervised Learning Preview this course in the non-credit experience today! Work you ...

Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...

Online learning platform Coursera recently announced the launch of its new Machine Learning Specialization course. This beginner-level program teaches the fundamentals of machine learning and how ...

Hundreds of faculty and students crowded into Science Center Hall D this week to hear a Princeton University computer science professor limn the secrets of machine learning.

Machine learning is becoming an increasingly important analytical tool, enabling businesses to extract meaningful information from raw data, offering accurate analyses and complex solutions to ...