Machine Learning courses

1330 Courses

Generative AI For Beginners with ChatGPT and OpenAI API

Unlock the potential of Generative AI with this beginner-friendly course, where you'll learn how to harness the capabilities of ChatGPT. Dive into the world of AI and explore automation using the OpenAI API. Perfect for those starting in AI, this course provides all the tools and knowledge needed to excel in the field. University: Provider.
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All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev

Find this AI course on Udemy Explore various aspects of artificial intelligence, from ChatGPT and prompt engineering to OpenAI API and beyond. This course covers diverse topics such as AI app development, chatbots, GPTs, and machine learning. Get hands-on experience with generative AI, automation, and copilot functionalities. Perfect for anyon.
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Cloud Computing and Artificial Intelligence

This course covers the structure and possibilities of Cloud Computing, emphasizing the merging of data with AI services like IoT, key technologies in the Fourth Industrial Revolution. It also delves into the applications of big data processing through text analytics. Participants will gain an understanding and practical skills in the principles o.
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Introduction to Artificial Intelligence(人工智能导论)

Explore the fundamentals of artificial intelligence with our comprehensive course, "Introduction to Artificial Intelligence(人工智能导论)." This course, delivered by XuetangX, covers five insightful chapters designed for learners keen on understanding AI's core concepts and applications. Chapter 1: Introduction to Artificial Intelligence In.
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人工智能导论

探索人工智能基础概念,研究数据驱动的网络模型、算法与平台。本课程梳理人工智能的关键发展节点,激发您的学习兴趣。通过此课程,您将牢牢掌握人工智能基础,为深度学习的最前沿铺路,不仅适合计算机专业学生,也对其他学科的学生适宜。
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大模型技术及交叉应用

Embark on a comprehensive journey to understand the intricacies of large-scale AI models and their diverse applications. With XuetangX, delve into nine meticulously structured lessons that encompass the essential principles, intricate technical implementations, and practical applications across various sectors. Whether you're passionate about.
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提示语工程训练营

参与提示语工程训练营,深入学习如何掌握和运用提示语工程的重要技术。这门课程提供丰富的知识传授和实践练习,帮助学员设计、优化交互提示语,以提高与人工智能模型的交互效果。 您将探索提示语工程的核心概念、最佳实践以及常见的应用场景。通过课程的实际案例和练习,您将加深对这些概念的理解,并获得在人工智能应用开发中实际应用提示语工程的宝贵经验。 课程由Xue.
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AI大模型应用开发工程师

Learn to become an AI Large Language Model Application Development Engineer through a comprehensive training that encapsulates essential core concepts, development frameworks, and practical fields of application. Master critical skills including prompt engineering, LLM fine-tuning, and API integration while delving into real-world use cases suc.
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Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)

En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
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神经网络理论及应用

Course Objective Since the mid-1980s, artificial neural networks have rapidly evolved into a forefront research field in information technology. This parallel information processing system significantly impacts fields such as computer science, AI, cognitive science, neuroscience, information science, automatic control, and robotics. The course "N.
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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!