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best artificial intelligence course in jalandhar

Elevate your skills with TechCadd's best AI course in Jalandhar! Dive into practical learning and industry insights to master artificial intelligence today.<br>visit now:https://techcadd.com/best-ai-course-in-jalandhar.php

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best artificial intelligence course in jalandhar

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  1. Artificial Intelligence contact no:9888122255 visit now:https://techcadd.com/

  2. What is Artificial Intelligence • AI is the simulation of human intelligence in machines • Machines that mimic human thinking, learning, and decision-making • Subfields: Machine Learning, Natural Language Processing, Robotics

  3. History of AI • 1950: Alan Turing proposes the Turing Test • 1956: Term "Artificial Intelligence" coined at Dartmouth Conference • AI winters and booms • Modern AI: Deep Learning, Big Data, Compute Power 01

  4. TYPES OF AI NARRROW AI 01 • Performs specific tasks (e.g., Siri, Chatbots) GENERAL AI 02 • Can perform any intellectual task like a human (still theoretical) SUPERINTELLIGENT AI 03 • Surpasses human intelligence (hypothetical)

  5. KEY CONCEPTS IN AI • Machine Learning (ML): Algorithms that learn from data • Deep Learning: Neural networks with multiple layers • Natural Language Processing (NLP): Understanding and generating human language • Computer Vision: Understanding images and video 02

  6. MACHINE LEARNING : 01 02 • Supervised Learning: Labeled data, classification & regression • Unsupervised Learning: No labels, clustering & association • Reinforcement Learning: Learning through trial and error 03

  7. TOOLS AND LANGUAGE OF AI • Languages: Python, R, Java • Libraries: TensorFlow, PyTorch, Scikit-learn, Keras • Platforms: Google Colab, Jupyter Notebooks 07

  8. APPLICATIONS OF AI: • Healthcare: Disease diagnosis, drug discovery • Finance: Fraud detection, algorithmic trading • Transportation: Self-driving cars • Customer Service: Chatbots, virtual assistants

  9. ETHICS IN AI • Bias and fairness in algorithms • Privacy and surveillance concerns • Job displacement • and automation • Responsible AI • and governance 10

  10. CHALLENGES IN AI • Data quality and availability • Interpretability and explainability • Computational resources • Security and adversarial attacks 03 04

  11. FUTURE OF AI • General AI and sentience • AI in creative industries (art, writing, music) • Human-AI collaboration • AI regulation and international policy 02 03 04

  12. SUMMARY • Summary of AI concepts and impact • Suggested readings and tools • Course roadmap (if part of a longer curriculum) • Q&A / Contact information

  13. Thank You..... VISIT NOW::https://techcadd.com/

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