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Computer Vision: From Image Recognition to Real-World Applications

Introduction to Computer Vision Computer vision is a subfield of artificial intelligence that trains computers to understand the visual world...

November 24, 2025 Read Article →
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Stock Price Prediction with LSTM Neural Networks

Hands-On Project: Stock Price Prediction with LSTM Neural Networks Difficulty Level: Intermediate | Duration: 4-6 hours | Topics: Deep Learning,...

November 20, 2025 Read Article →
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Image Recognition with Convolutional Neural Networks

Related Learning Paths Learning Path: AI Tools Mastery Learning Path: Deep Learning Progression

November 20, 2025 Read Article →
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Build an Intelligent Chatbot with NLP

Hands-On Project: Build an Intelligent Chatbot with NLP Difficulty Level: Intermediate | Duration: 4-6 hours | Topics: Natural Language Processing,...

November 20, 2025 Read Article →
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Movie Recommendation System

Hands-On Project: Movie Recommendation System Difficulty Level: Intermediate | Duration: 3-5 hours | Topics: Collaborative Filtering, Machine Learning, Data Mining...

November 20, 2025 Read Article →
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Math Foundations for AI & Machine Learning

Math Foundations for AI & Machine Learning Master the mathematical concepts essential for artificial intelligence and machine learning Success in...

November 20, 2025 Read Article →
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Linear Algebra Basics for AI/ML

Linear Algebra Basics for AI/ML Difficulty: Beginner | Time: 45-60 minutes | Key Concepts: Vectors, Matrices, Operations Learning Paths Learning...

November 20, 2025 Read Article →
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Probability & Statistics for AI/ML

Probability & Statistics for AI/ML Difficulty: Beginner | Time: 50-70 minutes | Key Concepts: Probability, Distributions, Statistics Why Probability &...

November 20, 2025 Read Article →
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Calculus for Machine Learning

Calculus for Machine Learning Difficulty: Intermediate | Time: 60-90 minutes | Key Concepts: Derivatives, Gradients, Optimization Learning Paths Learning Path:...

November 20, 2025 Read Article →
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Structured Learning Paths for AI & ML

Structured Learning Paths for AI & ML Complete progressions from beginner to advanced in different specializations These curated learning paths...

November 20, 2025 Read Article →
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Learning Path: Python for AI/ML

Learning Path: Python for AI/ML Duration: 8-10 weeks | Weekly Commitment: 15-20 hours | Target Audience: Beginners with no coding...

November 20, 2025 Read Article →
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Learning Path: Deep Learning Progression

Learning Path: Deep Learning Progression Duration: 10-12 weeks | Weekly Commitment: 20-25 hours | Prerequisites: Python for AI/ML path or...

November 20, 2025 Read Article →