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Machine Learning courses

1334 Courses

California Institute of Technology France Université Numerique

À la recherche de l'Intelligence Artificielle

Rejoignez un parcours immersif dans le monde de l'Intelligence Artificielle, utilisant des outils tels que la génération de texte, la synthèse vocale et la création d'images. Ce cours, encadré par des experts universitaires, met l'accent sur les enjeux importants de l’IA, favorisant une approche responsable et humaniste, tout en étant présent.
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California Institute of Technology XuetangX

智慧农业

《智慧农业》是一门专为农学专业学生开设的选修课程，内容涵盖智慧农业概述、现状及发展趋势，课程结构由物联网、大数据和人工智能三大模块组成。这门课不仅是互联网加大赛和创新创业大赛的专题实践课程，还通过智慧农业系统设计中的原理、技术和步骤的详细说明，结合翔实的实践案例，提供了利用大数据和互联网思维改革传统农业的技术途径。这对农业科学和工程专业的师生在智慧.
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California Institute of Technology XuetangX

行行AI公开课

行行AI公开课是一个专为人工智能及机器学习爱好者设计的课程，由知名在线教育平台学堂在线提供。无论您是初学者还是有经验的从业者，该课程都将帮助您深入了解AI领域的最新技术和应用。 欢迎加入我们，探索人工智能的未来，拓展您的职业技能，并与志同道合的学习者建立联系。立即报名，开启您的AI学习之旅！
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California Institute of Technology XuetangX

微软--计算机视觉论文分享课

随着云计算、大数据和机器学习的迅速发展，计算机视觉作为人工智能领域的核心技术之一，近年来取得了诸多突破性进展。如今，不论是在学术界、工业界，还是在初创企业中，计算机视觉都备受关注！CVPR会议是由IEEE主办的计算机视觉和模式识别领域的顶级会议。为了推动国内计算机视觉研究的发展，强化工业界与学术界的交流，微软亚洲研究院主办，清华大学媒体与网络技术教育部-微.
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California Institute of Technology XuetangX

This is AI

Welcome to a transformative era where artificial intelligence is not a distant dream but a palpable reality reshaping our lives. Explore the incredible capabilities of AI, such as machines engaging in debates that challenge human intellect and facial recognition techniques that might reveal more than just your appearance. Imagine a world whe.
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California Institute of Technology XuetangX

AI TIME PhD：ACL 专场三

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California Institute of Technology XuetangX

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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California Institute of Technology XuetangX

系列综述带你了解ChatGPT、AIGC和扩散模型

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California Institute of Technology XuetangX

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.
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California Institute of Technology XuetangX

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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More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!