All current Machine Learning Courses courses in 2024
1795 कोर्स
基于神经网络模型的开放领域对话系统研究
参与这次由XuetangX提供的中文讲座，深入研究基于神经网络的开放领域对话系统。在此次课程中，您将探索自然语言处理的核心概念、深度学习架构以及能够实现与人类相似互动的会话式人工智能技术。这个课程是为希望提升自己在机器学习、深度学习及相关领域技能的学习者设计的。
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AI TIME：你的KDD小课堂
Welcome to AI TIME: 你的KDD小课堂, a comprehensive course offered by XuetangX, where you can delve into the cutting-edge fields of Artificial Intelligence, Machine Learning, and Data Mining. Enhance your knowledge and skills through meticulously crafted content, tailored to turn complex concepts into approachable, engaging lessons.
Join a commun.
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人工智能技术与应用
This course is tailored for engineering management graduate students, integrating artificial intelligence theory, experiments, and engineering practice. Theoretical topics include an introduction to AI, knowledge representation and graphs, search strategies, genetic algorithms, swarm intelligence, neural networks, machine learning, deep learni.
XuetangX
AI TIME：深度推荐系统的探索与实践
AI TIME: 深度推荐系统的探索与实践
Delve into the world of deep recommendation systems with our in-depth lecture conducted in Chinese, brought to you by XuetangX. This course offers a comprehensive exploration of both the theoretical underpinnings and practical implementations of recommendation algorithms. Engage with key concepts and examine how.
XuetangX
AI TIME PhD Debate-7：因果推理的应用与发展
Engage in the AI TIME PhD Debate-7, centered around the application and advancement of causal reasoning. Presented by XuetangX, this event delves into crucial topics within artificial intelligence and its interplay with causality. Whether you're a student, researcher, or practitioner, this debate offers a platform to gain insights from pioneeri.
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XuetangX
AI TIME PhD 哈工大HIT-SCIR实验室专场二
AI TIME PhD: 哈工大HIT-SCIR实验室专场二
加入AI TIME PhD: 哈工大HIT-SCIR实验室专场二，探索人工智能领域的最新研究与发展动向。本系列面向希望深入了解自然语言处理、机器学习及信息检索技术的学者与研究人员。
来自哈尔滨工业大学的顶尖研究人员将在本次中文学术讲座中分享他们的研究成果和见解，展示哈工大社会计算与信息检索实验室（HIT-SCIR）在这些领域取得的进.
XuetangX
论文一作学者分享大模型前沿研究
论文一作学者分享大模型前沿研究
Discover the forefront of AI advancement by learning about the latest developments in large language models from a lead research author. This Chinese-language academic presentation offers a unique opportunity to acquire deep technical understanding of current research directions, innovative methodological approac.
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