Understanding the landscape of AI techniques
Practical AI
Understanding the Landscape of AI and ML Techniques
This chapter explores the confusion surrounding terminology in data science and AI, discussing misunderstandings and hindrances to communication. It also provides an overview of AI techniques, including automation, deep learning, and the progression from linear to nonlinear models. Additionally, the chapter delves into the implications of using deep learning techniques and the strengths of R language for handling data.
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