Practical Data Science using Python - Machine Learning Terminology

The video tutorial explains the differences between traditional programming and machine learning, highlighting how machine learning models learn from data rather than predefined rules. It covers related terms like AI, deep learning, and data science, and discusses various machine learning algorithms and use cases. The tutorial also delves into neural networks and deep learning, explaining their architecture and applications. It distinguishes between data science and machine learning, and concludes with an overview of big data and its relevance to AI.

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