Free Materials
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AI Fundamentals Guide
A comprehensive 50-page PDF covering the basics of artificial intelligence, machine learning, and neural networks.
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Python for AI Cheat Sheet
Quick reference guide for essential Python libraries including NumPy, Pandas, and TensorFlow.
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Machine Learning Datasets
Collection of curated datasets for practicing machine learning algorithms across different domains.
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AI Glossary
- Artificial Intelligence
- The simulation of human intelligence processes by machines, especially computer systems, including learning, reasoning, and self-correction.
- Machine Learning
- A subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed.
- Neural Network
- A series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.
- Deep Learning
- A machine learning technique that teaches computers to do what comes naturally to humans: learn by example using multi-layered neural networks.
- Natural Language Processing
- A branch of AI that helps computers understand, interpret and manipulate human language.
- Computer Vision
- A field of AI that trains computers to interpret and understand the visual world through digital images and videos.
Interactive Tools
AI Model Playground
Experiment with different AI models and parameters in this interactive web-based playground.
Launch Tool
AI Code Converter
Convert between different programming languages with AI-powered translation.
Launch Tool
Dataset Visualizer
Upload and visualize your datasets with various chart types and statistical tools.
Launch ToolRecommended Books
Artificial Intelligence: A Modern Approach
The standard textbook on AI used in over 1400 universities worldwide.
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Hands-On Machine Learning
Practical guide to implementing machine learning algorithms using Scikit-Learn and TensorFlow.
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Deep Learning
Comprehensive mathematical introduction to deep learning for students and researchers.
View DetailsResearch Papers
Attention Is All You Need
Vaswani et al. (2017) - Introduced the Transformer architecture.
Download PDFGenerative Adversarial Networks
Goodfellow et al. (2014) - Introduced GANs for generative modeling.
Download PDFBERT: Pre-training of Deep Bidirectional Transformers
Devlin et al. (2018) - Introduced BERT model for NLP.
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