Machine Learning courses

1771 Courses

AI TIME PhD:清华CoAI小组

AI TIME PhD: 清华CoAI小组 | XuetangX Join Tsinghua University's CoAI research group for an in-depth exploration of artificial intelligence and machine learning. This comprehensive lecture series, offered in Chinese, covers essential concepts, methodologies, and real-world applications in the ever-evolving field of AI. Provider: XuetangX Categ.
course image

AI TIME PHD AAAI专场八

AI TIME PHD AAAI专场八 Join us for an engaging lecture delivered in Chinese that thrusts you into the world of cutting-edge artificial intelligence research. AI TIME PHD AAAI专场八 offers insights into the most recent advancements showcased at AAAI, renowned worldwide as a leading AI academic conference. Benefit from expert discussions on pi.
course image

AI TIME 如何迈向知识驱动的人工智能 ?

Join this enlightening lecture in Chinese to delve into the transformation towards knowledge-driven artificial intelligence. Discover how AI systems can enhance their capabilities by leveraging structured knowledge and reasoning, moving beyond traditional data-driven methods. University: Not specified Provider: XuetangX Categories: Arti.
course image

AI TIME PhD 哈工大HIT-SCIR实验室专场一

Join the AI TIME PhD series, focusing on the pioneering research done by the SCIR at Harbin Institute of Technology. This event offers an exceptional opportunity to engage with the latest developments in the realms of artificial intelligence and natural language processing. Through specialized lectures, participants will gain insights into th.
course image

AI TIME PhD ICLR专场七

参与AI TIME PhD ICLR专场七,探索人工智能研究的最新突破。这次中文会议由国际学习表征会议(ICLR)的博士生主讲,讲述关于人工智能和机器学习领域的尖端发展和创新方法。 本次会议为所有对人工智能、机器学习和计算机科学有兴趣的学者和研究人员提供了绝佳机会。您将获得权威的信息和见解,深入了解深度学习和神经网络方面的最新研究动向。 主办单位:学堂在线 (Xueta.
course image

算法支撑的赛博智能经济

加入我们,深入探讨由算法推动的赛博智能经济,获取关于计算智能和算法系统如何深刻改变现代经济结构和商业模式的宝贵见解。本次学术讲座由清华大学提供,通过XuetangX平台传播,适合人工智能课程和机器学习课程的爱好者。 讲座内容涵盖: 算法在经济中的应用 计算智能的最新发展 现代经济结构的转型 新商业模式的探讨 该讲座有助于您全面了解当前技术在经济领.
course image

人工智能基础核心技术之事件检测

欢迎参加由清华大学提供的“人工智能基础核心技术之事件检测”课程。在此课程中,您将学习如何运用人工智能中的事件检测技术来识别和分析数据流中的重大事件或模式。这是一门中文课程,旨在帮助您深入理解事件检测在人工智能中的应用。 本课程涵盖多个关键主题,包括人工智能、机器学习、计算机视觉、神经网络、时间序列分析、信号处理及模式识别。这为您在这些领域的进一.
course image

AI for Academic Search (人工智能助力学术搜索)

Unlock the potential of artificial intelligence in academic search and research discovery with this lecture from Tsinghua University. Delivered in Chinese, the session delves into how AI is revolutionizing the way scholars access and retrieve information. Attendees will learn about cutting-edge techniques for improving scholarly information re.
course image

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!