Скачать или смотреть Components of Machine learning |BML| SNS INSTITUTIONS

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Machine Learning is one of the most important technologies in today’s digital world and a core part of Artificial Intelligence. In this video, we will explore the Components of Machine Learning in a simple and easy-to-understand manner, making it perfect for beginners, students, and anyone interested in learning AI concepts.

The video starts with a brief introduction to Machine Learning, explaining how machines learn from data and improve their performance without being explicitly programmed. You will then learn about the main components of Machine Learning, beginning with data, which is the foundation of every machine learning system. We explain different types of data and why quality data is crucial for accurate predictions.

Next, we discuss features and feature selection, helping you understand how important information is extracted from raw data. The video also covers machine learning algorithms, such as supervised, unsupervised, and reinforcement learning, and how these algorithms help machines identify patterns and make decisions.

Another important component explained in this video is the model, which is created using algorithms and trained with data. You will learn how training and testing work, and why splitting data is necessary to measure real-world performance. We also cover evaluation metrics, which help determine how accurate and reliable a machine learning model is.

Finally, the video explains the importance of optimization and feedback, showing how models improve over time. By the end of this video, you will have a clear understanding of how all the components of Machine Learning work together to create intelligent systems.

This video is ideal for school and college students, beginners in AI, and anyone preparing for exams or interviews. Don’t f
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#snsinstitutions
#snsdesignthinkers
#designthinking