What are the key differences between data science and AI?
An example of an AI chatbot conversation about data science and AI.
What are the key differences between data science and AI?
Data science focuses on extracting insights from data, while AI aims to create systems that can perform tasks intelligently.
Can you give me examples of how they are used in real life?
Sure! Data science is used in business analytics, while AI powers virtual assistants like Siri and recommendation systems.
What skills do I need to get into data science?
You'll need skills in statistics, programming (like Python or R), and data visualization, along with a strong analytical mindset.
How about for AI?
For AI, focus on machine learning, deep learning, programming, and understanding algorithms and data structures.
Are there any good resources to learn these skills?
Yes! Websites like Coursera, edX, and Kaggle offer great courses on data science and AI.
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