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Machine Learning courses

1334 Courses

California Institute of Technology XuetangX

语义解析漫谈：机会与挑战

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California Institute of Technology XuetangX

初探人工智能

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California Institute of Technology 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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California Institute of Technology 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.
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California Institute of Technology XuetangX

人工智能（通识课）

人工智能在互联网时代获得了前所未有的发展机遇，已经成为目前发展最迅速、对社会影响最大的新兴学科。由于人工智能是模拟人类智能解决问题的方法，几乎在所有领域都具有非常广泛的应用，所以，目前许多高校开设了大学生人工智能通识课程。 课程涵盖了人工智能的概念、发展简史、研究内容及应用，引导学生深入各个研究领域，并介绍知识表示、推理方法、搜索策略、遗传算.
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California Institute of Technology 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.
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California Institute of Technology 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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California Institute of Technology XuetangX

机器学习入门

欢迎加入系统、科学且专业的机器学习入门课程。这门课程不仅涵盖传统的机器学习内容，还包括了深度学习的先进知识。您将学习到机器学习和深度学习的基础理论、算法原理及数据处理技巧，并且通过实际案例分析提高自己的实践能力，从而为未来的学习和职业发展奠定坚实基础。 这是一门针对机器学习初学者设计的课程，涵盖广泛的基本知识，适合各专业背景的学生参与学习。无论您的.
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California Institute of Technology XuetangX

人工智能

人工智能是计算机科学的一门前沿与交叉学科，本课程全面介绍人工智能的基础理论和基本技术。通过本课程的学习，要求学生能够了解人工智能的发展及其研究领域；掌握知识表示的各种方法，基本的问题求解技术以及基本的推理技术；并理解人工神经网络的基本结构和学习方法且能够初步理解专家系统、机器学习、自然语言处理等应用领域的知识。 提供者: XuetangX 类别: 人工智能课.
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California Institute of Technology XuetangX

滴滴语音技术

Join us for an in-depth exploration of the voice technology powering DiDi's intelligent transportation platform. This technical presentation, delivered in Chinese, delves into the sophisticated development and implementation processes behind speech recognition systems and natural language processing capabilities. Presented by XuetangX, this se.
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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!