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Artificial Intelligence

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

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Mastering Tabnine AI for Efficient Code Development...

By : Sekhar Metla (Microsoft Certified Professional) Sudha

Accelerate Your Code Mastery: A Deep Dive into Tabnine AI for Effortless and Efficien...

4.8 276

4:26:29 hrs   37 lectures All Level   

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Step by Step guide for 10 key topics for utilizing ChatGPT 100% to become high effici...

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1:39:44 hrs   9 lectures All Level   

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Deep Dive into Artificial Intelligence - The Master Program...

By : Skillcart E-Learning

Artificial Intelligence | Data Science with Python | Machine Learning | Deep Learning...

4.1 513

2:56:28 hrs   43 lectures All Level   

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Introduction to Artificial Intelligence...

By : Skillcart E-Learning

All about Artificial Intelligence....

4 308

4 lectures All Level   

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SQL for data engineer | ETL | Testing | Foundation Course...

By : Akash Pawar

A comprehensive course to teach you how to complete SQL queries...

4.3 230

1:24:16 hrs   42 lectures All Level   

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Pyspark Foundation for Data Engineering | Beginners...

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Data Engineering, PySpark, Coding exercise...

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24 lectures All Level   

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Full Data Science Course: From Zero to Hero...

By : Diogo Marques

Part I: Inferential Statistics...

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1:4:14 hrs   32 lectures All Level   

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Data Science Road Map With 5+ Industry level Projects...

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Learn Data Science through a comprehensive course curriculum encompassing essential t...

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14:40:44 hrs   17 lectures Beginner Level   

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Python Numpy for Beginners in Data Science...

By : Surendra varma Pericherla

Learn NumPy for Absolute Beginners...

4.3 223

1:12:7 hrs   31 lectures All Level   

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Artificial Intelligence and Algorithms in Journalism...

By : Blaise Aboh

Introduction to Artificial Intelligence and News Algorithms...

4.8 4603

20 lectures All Level   

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  • 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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