Machine Learning courses

1334 Courses

AI TIME PhD 北航ACT实验室专场二

XuetangX presents AI TIME PhD 北航ACT实验室专场二, an exclusive opportunity to enhance your understanding of artificial intelligence and machine learning. Hosted by Beihang University's renowned ACT Laboratory, this event offers a deep dive into cutting-edge research topics and the latest advancements in AI technology. The lecture series encom.
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AI TIME PhD ICLR专场四

Immerse yourself in the AI TIME PhD ICLR专场四, a dedicated session focused on the latest breakthroughs in AI research. This Chinese-language event is part of the prestigious International Conference on Learning Representations (ICLR) and features insightful presentations by talented PhD students. Participants will gain an in-depth understandi.
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AI TIME PhD:浙江大学专场二

Engage in a specialized academic seminar presented in Chinese, showcasing the pioneering work of doctoral candidates from Zhejiang University. This exclusive event will delve into the forefront of artificial intelligence, exploring both theoretical advancements and their practical applications. Attendees will gain insight into the latest resea.
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AI TIME PhD 北航ACT实验室专场一

Participate in AI TIME PhD 北航ACT实验室专场一, a distinguished lecture series from Beihang University's ACT Laboratory. This event delves into the latest advancements in artificial intelligence research, highlighting the integration of AI, machine learning, and computational technologies. Attendees will gain invaluable knowledge from top resear.
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AI TIME CVPR 专场五

AI TIME CVPR 专场五 - Cutting-edge Computer Vision and AI Conference Join the AI TIME CVPR 专场五, a Chinese-language session focused on the latest advancements in computer vision and artificial intelligence. This event marks the fifth installment of the prestigious AI TIME CVPR series, where experts gather to share insights and propel the fi.
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AI TIME PhD:浙江大学专场一

Engage with groundbreaking AI research and explore its applications in this Chinese-language seminar presented by Zhejiang University's esteemed researchers. Gain insights into advanced artificial intelligence topics and discover their real-world implementations.
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AI TIME CVPR 专场二

AI TIME CVPR 专场二 - XuetangX Delve into the forefront of computer vision and artificial intelligence with the AI TIME CVPR 专场二, the second session in this special series. Conducted in Chinese, this conference session presents an excellent opportunity to engage with expert presentations and cutting-edge discussions, propelling your underst.
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人脑VS机器?AI时代经济决策的机遇与挑战?

Join us for an engaging lecture titled 人脑VS机器?AI时代经济决策的机遇与挑战, hosted by XuetangX. This event offers a profound exploration of the evolving landscape of economic decision-making in the context of artificial intelligence. Participants will examine the dynamic interplay between human cognitive abilities and mach.
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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!