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Machine Learning courses

1334 Courses

California Institute of Technology XuetangX

小白学人工智能

中国也在大力发展新一代人工智能技术，并致力于将其应用于各行各业。本课程完成后，学生将能够： 了解人工智能行业的最新应用和发展趋势。 从数据、算法和计算力的角度理解人工智能的发展。 用行业或生活术语比喻人工智能的概念和原理。 体验和理解深度学习原理，涉及CNN、图像风格迁移、RNN等架构。 通过实例理解深度学习特征，如输入层、隐藏层、输.
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California Institute of Technology XuetangX

人工智能

本课程的特色包括： 注重人工智能核心技术体系的构建，讲解全面完整，涵盖多个核心技术途径，如机器学习和神经网络等。 从“认识你自己”角度出发，将内容有机结合为一个整体，便于系统理解和掌握。 培养解决实际问题的思路，通过案例示例展示基本思路。 注重人工智能思维模式的建构，强调技术与非技术的区别。 注重技术创新思维的培养和建构。 本课程自2008年起.
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California Institute of Technology XuetangX

数据科学导论

新技术如云计算、大数据、物联网和人工智能彻底改变了我们对数据的理解，带来了许多新问题，而这些问题在传统理论中尚无解决方案。每个领域现在已发展出许多新的学科如农业大数据、工业大数据等，从学科角度探讨大数据的挑战和解决方案。因此，我们亟需更新我们的知识结构。 课程介绍数据科学的基本概念、理论，并展示其应用和发展前景。学生将掌握获取、处理、管理、分析和.
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California Institute of Technology XuetangX

人工智能方法与技术

本课程系统、深入地介绍人工智能的理论方法、领域应用和前沿技术，主要内容包括：知识表示与因果推理、语言文本分析、集成学习及大数据分类与预测、智能推荐新技术、社交媒体的图模型计算与传播机制、博弈论与智能决策方法、复杂系统网络建模与控制决策等。注重对智能媒体计算相关的语言文本、智能推荐、互联网传播等场景下的实战应用分析。 适合于研究生或高年级本.
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California Institute of Technology XuetangX

人工智能教育应用

人工智能被视为继蒸汽机、电力、互联网之后最有可能带来新的产业革命浪潮的技术，而教育领域则是人工智能技术影响最为深刻的领域之一。无论你是在校学生还是一线教师，只要对人工智能和教育感兴趣，都可以来学习这门课程。这门课程将介绍人工智能的核心技术与教育创新应用场景，帮助你深刻认识人工智能对教育体系的变革与推动作用，以及未来人工智能在教育领域的发展趋势.
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California Institute of Technology XuetangX

AI TIME PHD AAAI专场七

Immerse yourself in the forefront of artificial intelligence by attending the AI TIME PHD AAAI专场七, a compelling talk presented in Chinese. Delve into the revolutionary research and developments showcased at the AAAI (Association for the Advancement of Artificial Intelligence) conference, with a focus on transformative insights and technol.
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场五

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California Institute of Technology XuetangX

AI TIME PHD AAAI专场六

Discover the forefront of artificial intelligence by joining the AI TIME PHD AAAI专场六. This Chinese-language conference presents an opportunity to delve into the latest advancements in AI with comprehensive discussions and research presentations led by top experts in the field. Ideal for anyone interested in artificial intelligence, machine.
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California Institute of Technology XuetangX

AI TIME PHD - AAAI 专场三

Discover the frontier of artificial intelligence at the AI TIME PHD - AAAI 专场三. This exclusive session, held in Chinese, brings together distinguished experts to share groundbreaking AI research and developments. Attend the AAAI special event and immerse yourself in insightful presentations on the latest in AI technology and methodology. H.
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California Institute of Technology XuetangX

AI TIME CVPR 专场一

Join the AI TIME CVPR 专场一 to delve into the forefront of AI research and developments in the realm of computer vision. This session, conducted in Chinese, is part of the CVPR conference and offers attendees an invaluable opportunity to enhance their understanding of the latest innovations and practical applications in artificial intellige.
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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!