Northeastern University
19 Courses
Northeastern University
Generative AI: Foundations and Concepts
This course provides an overview of some different concepts underpinning Generative AI, their mathematical principles, and their applications in engineering. The focus will be on the practical implementation of generative AI including, neural networks, attention mechanism, and advanced deep learning models.
Northeastern University
Responsible AI for Mental Health
Unlock the future of AI-driven mental health care while tackling the critical ethical challenges shaping the field today. From bias and misinformation to privacy and patient safety, this course dives into the complexities of AI’s role in mental health. Explore cutting-edge advancements in computing and social robotics, and compare basic and advance.
Northeastern University
AI Innovation in Healthcare
AI is transforming the landscape of healthcare by offering innovative solutions to improve diagnostics, personalize treatment plans, and streamline clinical workflows. This course from Northeastern University, available through Coursera, delves into the crucial role of AI in modern healthcare. Participants will learn how various data forms, f.
Northeastern University
NLP in Engineering: Concepts & Real-World Applications
Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.
Northeastern University
Foundations in Human-Centered AI
Join us for the Foundations in Human-Centered AI course, where we delve into a critical area of artificial intelligence research focused on enhancing and augmenting human capabilities. Instead of seeking to replace human skills, this course concentrates on designing AI technologies that work with and for humans.
Our journey begins with a histo.
Northeastern University
Aligning Business Strategy for AI Integration
Join our course at Northeastern University to discover how artificial intelligence (AI) can empower your business to stay ahead in today's competitive market. This course delves into the integration of AI in forming robust business strategies, offering insights into machine learning techniques such as unsupervised, supervised, and reinforcem.
Northeastern University
机器学习与模式识别
《机器学习与模式识别》是为人工智能、工业智能以及自动化专业设计的专业课程，研究如何利用机器学习方法完成模式识别任务中涉及的基本概念、原理和实现方法。
课程内容涵盖模式识别与机器学习的基本任务、核心概念与方法，包括贝叶斯决策论与概率模型估计、线性分类与回归、支持向量机、决策树、集成学习、模型评估、特征学习与选择，以及人工神经网络与深度学习。另外，本.
Northeastern University
人工智能
《人工智能》课程的主要特点包括以下几个方面：
门槛较低：不需要掌握计算机基础知识，只需大学工科数学基础和一门编程语言。
内容全面：涵盖经典人工智能技术、机器学习及深度学习相关知识，系统介绍发展历程中的各种成果和走过的弯路。
实践性强：不仅提供理论讲授，还有编程实践，学生普遍对这部分内容非常感兴趣。
本课程适合希望全面了解和掌握人工智能技术.
Northeastern University
Ethics and AI: A Philosophical Guide to Responsible Use
Ethics and AI: A Philosophical Guide to Responsible Use
Course Title: Ethics and AI: A Philosophical Guide to Responsible Use
Description: This course aims to introduce foundational concepts related to defining AI and examining its regulation through a philosophical lens. Participants will be introduced to basic philosophic.
