Fundamentals Of AI & ML Episode # 2 ??
Mansoor Ul Hasan
?? Engineering Leader | Cybersecurity | AI & Privacy | VPN & Zero Trust | x10Pearls | xBykea
We often use terms ???? and ?????????????? ???????????????? how they both differs each other or contribute to each other.
If i talk about Humans Intelligence its all about based on data we have in our memory human can show intelligence only we have data in the memory.If we box intelligence so we can say data is a core component. Human intelligence learn from data and based on learning Human intelligence comes into the action in short if no data no learning if no learning no intelligence.
The same way AI and Machine Learning works together.
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Supervise Learning
Unsupervised learning
Reinforcement Learning (Self-Improving AI)
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???? ???????????? ???????? ?????????????? ???????? (??????????-???????????? ??????????).
??????????????: AI in medical diagnosis predicting diseases based on patient symptoms.
???????????????????? ????????: Linear Regression, Decision Trees, Neural Networks.
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AI finds hidden patterns in data without labeled outcomes.
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??????????????: AI-powered customer segmentation in marketing.
???????????????????? ????????: Clustering (K-Means, DBSCAN), Dimensionality Reduction (PCA, Autoencoders).
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AI learns by interacting with an environment and receiving rewards or penalties.
??????????????: AI playing games like Chess or Go (DeepMind’s AlphaGo).
???????????????????? ????????: Q-Learning, Deep Q-Networks (DQN), Proximal Policy Optimization (PPO).
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Explainable AI (XAI): Making AI decisions more interpretable.
Generative AI: AI that creates content (ChatGPT, DALL·E, Deepfake videos).
AI Ethics & Fairness: Ensuring AI decisions are unbiased and ethical.
Autonomous AI: AI that operates independently in robotics, healthcare, and finance.
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AI relies on ML to process data, learn from it, and make intelligent decisions. The more AI interacts with new data, the better it becomes at solving complex tasks without human intervention.
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