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Create What is AI and ML
Note and resources and projects on AI and ML
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What is AI and ML

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Artificial Intelligence (AI) and Machine Learning (ML) are interconnected technologies transforming industries and revolutionizing the way we live and work.
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*Artificial Intelligence (AI):*
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AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as:
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1. Learning
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2. Reasoning
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3. Problem-solving
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4. Perception
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5. Language understanding
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*Machine Learning (ML):*
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ML is a subset of AI that enables machines to learn from data without being explicitly programmed. It involves:
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1. Data preprocessing
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2. Model training
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3. Model evaluation
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4. Deployment
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*ML Categories:*
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1. Supervised Learning (e.g., image classification)
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2. Unsupervised Learning (e.g., clustering)
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3. Reinforcement Learning (e.g., game playing)
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*Project Ideas with Links:*
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*Beginner Projects:*
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1. Image Classification using TensorFlow:
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2. Text Classification using PyTorch:
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3. Chatbot using NLTK and Flask:
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*Intermediate Projects:*
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1. Object Detection using YOLO:
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2. Sentiment Analysis using BERT:
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3. Time Series Forecasting using LSTM:
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*Advanced Projects:*
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1. Generative Adversarial Networks (GANs) for Image Generation:
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2. Natural Language Processing (NLP) for Question Answering:
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3. Reinforcement Learning for Game Playing:
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*Resources:*
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1. Kaggle: (competitions, datasets, tutorials)
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2. Coursera:(courses on ML and AI)
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3. GitHub: (open-source projects and repositories)
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*Getting Started:*
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1. Install necessary libraries (e.g., TensorFlow, PyTorch, scikit-learn)
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2. Explore datasets (e.g., MNIST, IMDB, CIFAR-10)
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3. Join online communities (e.g., Kaggle, Reddit's r/MachineLearning)
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Happy learning and project-building!

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