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Machine Learning courses

1334 Courses

California Institute of Technology XuetangX

AI是否可以引领传染病诊疗的新范式？

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California Institute of Technology XuetangX

AI TIME PhD：AI+行为经济学

Join us in the "AI TIME PhD: AI+行为经济学" course, where the integration of artificial intelligence and behavioral economics is explored in depth. This Chinese language course provides a comprehensive overview of how AI technologies are used to understand and influence human decision-making patterns. Throughout the course, learners will be i.
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California Institute of Technology XuetangX

四位大模型论文一作分享前沿研究

参与这个学术演讲系列，了解大型语言模型的突破性进展。四位第一作者将分享他们的前沿研究成果，带您探索自然语言处理和人工智能的最新动态。 通过他们的研究，您将获取关于构建和应用大型语言模型的深刻见解，以及如何在实际应用中推动这些技术的发展。 快来加入我们，获取尖端知识，提升您的专业技能，让自己在人工智能和机器学习领域中保持领先。
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California Institute of Technology XuetangX

2020高校人工智能人才培养论坛

参加2020高校人工智能人才培养论坛，聚焦于高等教育机构中的人工智能人才发展。该论坛采用中文进行，涵盖如何培养AI专业技能的讨论，探索教育策略，并探讨与行业的合作，以便为下一代AI专业人士做好准备。论坛将由XuetangX提供，适合有志于深度学习和机器学习等领域的参与者，尤其是那些在计算机科学和高等教育课程中寻求创新的方法和合作机会的人士。
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California Institute of Technology XuetangX

AI TIME PHD - AAAI 专场四

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California Institute of Technology XuetangX

AI TIME：ICML科普

Dive into the forefront of artificial intelligence and machine learning with the AI TIME：ICML科普 series. This Chinese-language video series provides detailed coverage on key topics presented at the International Conference on Machine Learning (ICML). Expert explanations bring to life recent research papers and the latest technological advanc.
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California Institute of Technology XuetangX

AI TIME PhD 浙江大学CAD&CG国家重点实验室专场一

Visit provider Immerse yourself in the latest advancements in artificial intelligence during AI TIME PhD, where Zhejiang University's State Key Laboratory of CAD&CG hosts a specialized session in Chinese. This engaging lecture covers innovative research and future trends in AI, including computer-aided design and computer graphics. This.
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California Institute of Technology XuetangX

智能技术与系统

通过这门全面的中文课程，深入了解智能技术与系统，掌握人工智能、机器学习和智能系统开发的关键概念。探索智能技术背后的基本原则，学习系统架构与框架，积累实施AI解决方案的实用知识。 课程涵盖核心主题，包括知识表示、推理方法、神经网络以及智能信息处理。学习如何设计和优化适用于现实世界的智能系统，提高你的专业技能。 此课程由XuetangX提供，适合希望提升.
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California Institute of Technology XuetangX

AI TIME PHD - AAAI 专场二

XuetangX Delve into the latest advancements in artificial intelligence at the AI TIME PHD - AAAI 专场二. This Chinese-language session is your gateway to understanding the forefront of AI research. Attendees will benefit from presentations and discussions led by top researchers, focusing on innovative methodologies and practical applications of.
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California Institute of Technology XuetangX

AI TIME系列直播课

Embark on an enlightening journey with the AI TIME系列直播课, a series of engaging live streaming lectures dedicated to the exploration and understanding of artificial intelligence. Scheduled to unfold over multiple sessions throughout 2023-2024, this series provides an unparalleled opportunity to grasp the intricacies of AI. Witness over 20 s.
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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!