Machine Learning courses

1770 Courses

ChatGPT与AIGC技术的前沿探索

探索ChatGPT和AIGC技术的前沿,通过现场直播课程获取深刻的见解。这些课程涵盖了人工智能和内容生成的最新发展、实际应用以及未来的发展趋势,为您揭示这些令人兴奋的技术的广阔可能性。由XuetangX提供的尖端课程适合对AI和生成内容充满热情的学习者。
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ChatGPT会引领AI新范式吗?

更多由XuetangX提供的课程 加入我们的直播讨论,深入探讨ChatGPT的创新潜力和它在未来人工智能领域中的重要作用。了解其如何可能作为新范式的先驱,对科技发展产生深远影响。不要错过这个绝佳机会,进一步了解前沿技术的未来走向。
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AI TIME:顶会知识唠唠嗑

Discover the forefront of artificial intelligence with AI TIME, an opportunity to delve into the newest advancements in the field. Participate in relaxed discussions that cover high-impact AI conference papers and groundbreaking research, explained in a manner that simplifies complex ideas for better comprehension. No need for prior deep tech.
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AI TIME PhD ICLR专场二

Discover the forefront of artificial intelligence research with AI TIME PhD ICLR专场二, a dedicated lecture series offered in Chinese. This series offers a unique opportunity to engage with advanced topics and discussions surrounding papers presented at the International Conference on Learning Representations (ICLR). Participants will delve int.
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AI TIME PhD ICLR专场一

Participate in AI TIME PhD ICLR专场一 to stay at the forefront of artificial intelligence innovation. This specialized lecture series, conducted in Chinese, offers a deep dive into recent advancements showcased at the International Conference on Learning Representations (ICLR). Engage with in-depth discussions and analyses led by experts to.
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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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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!