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Artificial Intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.

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Python Numpy for Beginners in Data Science...

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Learn NumPy for Absolute Beginners...

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Artificial Intelligence and Algorithms in Journalism...

By : Blaise Aboh

Introduction to Artificial Intelligence and News Algorithms...

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Pictures and Videos colorization by Artificial Intelligence...

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Automatically Colorize and Color Grading for old Black and Wight pictures or videos a...

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Artificial Intelligence Level 1: Cogito...

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Explore Artificial Intelligence....

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Artificial Intelligence: Preparing Your Career for AI...

By : Matthew Renze

Learn what you should be doing today to prepare your career for the coming wave of AI...

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Master in IBM Watson Visual Recognition Service...

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Hands on experience with IBM Watson Visual Recognition Service...

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Master CHATBOT development w/o coding : IBM Watson Assistant...

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Be smart to build chat bot applications using Watson Assistant, learn Watson Speech-T...

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Frequently asked questions
  • What is Artificial Intelligence (AI)?

    AI refers to machines or systems that can perform tasks requiring human intelligence, such as learning from data, making decisions, and solving problems.

  • How does Machine Learning differ from AI?

    Machine Learning is a subset of AI, focusing on algorithms that allow systems to learn and improve from data without explicit programming.

  • What are common applications of AI?

    AI is applied in various fields, including natural language processing, image recognition, healthcare diagnostics, and autonomous vehicles.

  • What ethical considerations are associated with AI?

    Ethical concerns in AI include bias in algorithms, privacy issues, transparency in decision-making, and responsible use of AI technologies.

  • How can businesses leverage AI for innovation?

    Businesses can leverage AI for innovation by integrating machine learning into processes, automating tasks, and using AI-driven insights to make data-driven decisions.

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