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Launched 33+ open-source programs, driving knowledge and collaboration across the tech.

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Open-source resources reaching 10 million professionals, driving global change.

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Over 200,000 hours of open-source content watched, fueling innovation in AI and data science.

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Serving learners in 144+ countries, shaping global access to premier tech education.

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Open Source Work
Open Source Resources
Our Commitments
November 16, 2024
Open Source Resources
How to Create the Perfect Résumé
November 16, 2024
Futurescape Insights
How to Choose Projects for Your Portfolio
November 16, 2024
Data Science
Unlocking Data Science Mastery: Transform Your Passion into Profit with Proven Resume Strategies
November 16, 2024
Data Science
Python Back-End Development: The Beginner’s Guide
November 16, 2024
Artificial Intelligence
Must-Have Skills and Technologies for Budding Software Engineers
November 16, 2024
Open Source Resources
Ace the Interview: Strategies for Future Software Engineers
November 16, 2024
Resources
Company Research Tips for Aspiring Software Engineers
November 16, 2024
Futurescape Insights
Building a Strong Foundation in Software Engineering
November 16, 2024
Artificial Intelligence
The Roadmap to Applying for a Software Engineering Internship
November 16, 2024
Latest of Lunartech
Excelling as a Software Engineering Intern: Insider Tips
November 16, 2024
Futurescape Insights
Software Engineering Internship vs a Job‌‌
November 16, 2024
Open Source Resources
Stand Out in Tech Interviews: A Software Engineer’s Guide
November 16, 2024
Futurescape Insights
How to Land a Software Engineering Internship
November 16, 2024
Open Source Resources
What is a Software Engineering Internship?
November 16, 2024
Resources
How to Effectively Showcase Your Software Engineering Talents
November 16, 2024
Artificial Intelligence
The Role of AI Productivity Tools in Automating Repetitive Business Tasks
November 16, 2024
Artificial Intelligence
Introducing Phoenix by LUNARTECH: Supercharge Your Productivity with AI
November 16, 2024
Artificial Intelligence
Transforming Business Productivity with Phoenix by LUNARTECH
November 16, 2024
Open Source Resources
A Comprehensive Guide to Implementing AI Productivity Tools in Your Organization
November 16, 2024
Artificial Intelligence
Future Trends in AI Productivity Tools and Their Impact on Industries
November 16, 2024
Artificial Intelligence
AI Productivity Tools in Content Creation: Revolutionizing Marketing Strategies
November 17, 2024
Open Source Work
The Impact of LUNARTECH's Open Source Contributions and Resources on Modern Development
November 17, 2024
Open Source Work
A Beginner's Guide to Leveraging LunarTech's Open Source Contributions and Resources
November 17, 2024
Our Commitments
The 12 Pillars of LUNARTECH Open-Source
December 18, 2024
Open Source Work
LunarTech Named Top Open-Source Contributor of 2024 by freeCodeCamp
January 2, 2025
Artificial Intelligence
What is Deep Learning?
January 2, 2025
Artificial Intelligence
How Deep Learning Differs from Traditional Machine Learning Models
January 2, 2025
Artificial Intelligence
Demystifying Neural Networks: The Backbone of Modern AI
January 2, 2025
Artificial Intelligence
Unveiling the Core of Deep Learning: The Power of Neurons in Neural Networks
January 2, 2025
Artificial Intelligence
Understanding Neural Network Architecture: A Deep Dive
January 2, 2025
Artificial Intelligence
Understanding the Crucial Role of Activation Functions in Neural Networks
January 2, 2025
Artificial Intelligence
A Deep Dive into Popular Activation Functions in Neural Networks
January 2, 2025
Artificial Intelligence
Why Activation Functions Are Crucial in Neural Networks: A Comprehensive Guide
January 2, 2025
Artificial Intelligence
A Comprehensive Guide to Training Neural Networks: Key Concepts and Strategies
January 2, 2025
Artificial Intelligence
An In-Depth Guide to Gradient Descent: Understanding the Heart of Machine Learning Optimization
January 2, 2025
Artificial Intelligence
The Role of Optimizers in Deep Learning: Understanding the Heart of Model Training
January 2, 2025
Artificial Intelligence
Understanding Backpropagation: The Heart of Neural Network Training
January 2, 2025
Artificial Intelligence
Understanding Backpropagation and Gradient Descent: Key Differences in Neural Network Training
January 2, 2025
Artificial Intelligence
The Vanishing Gradient Problem in Deep Learning: Causes, Effects, and Solutions
January 2, 2025
Artificial Intelligence
Understanding the Connection Between Activation Functions and the Vanishing Gradient Problem
January 2, 2025
Artificial Intelligence
Understanding Large Errors in Neural Network Backpropagation: Causes and Solutions
January 2, 2025
Artificial Intelligence
Understanding Computational Graphs in Deep Learning: An Essential Tool for Training Neural Networks
January 2, 2025
Artificial Intelligence
Mastering Loss Functions in Deep Learning: A Key to Accurate Model Optimization
January 2, 2025
Open Source Resources
Mastering Multiclass Classification: The Power of Cross Entropy and Softmax Loss Functions
January 2, 2025
Artificial Intelligence
Mastering Stochastic Gradient Descent: The Backbone of Deep Learning Optimization
January 2, 2025
Artificial Intelligence
Why Stochastic Gradient Descent Oscillates Towards Local Minima: An In-Depth Analysis
January 2, 2025
Artificial Intelligence
Gradient Descent vs. Stochastic Gradient Descent: Unveiling the Core Differences
January 2, 2025
Artificial Intelligence
Gradient Descent vs. Mini-Batch Gradient Descent vs. Stochastic Gradient Descent: An Expert Comparison
January 2, 2025
Artificial Intelligence
Mastering Batch Size in Deep Learning: A Comprehensive Guide to Optimization
January 2, 2025
Artificial Intelligence
Mastering Batch Size in Deep Learning: Unlocking Optimal Model Performance
January 2, 2025
Artificial Intelligence
Harnessing the Hessian in Deep Learning: Accelerate Training with Advanced Optimization Techniques
January 2, 2025
Artificial Intelligence
Mastering Adaptive Learning Rates in Deep Learning: Enhance Training Efficiency and Model Performance
January 2, 2025
Artificial Intelligence
Mastering RMSProp: Elevate Your Deep Learning Optimization Strategy
January 2, 2025
Artificial Intelligence
Mastering the Adam Optimizer: Unlocking Superior Deep Learning Performance
January 2, 2025
Artificial Intelligence
Mastering AdamW Optimizer: Enhancing Deep Learning Models with Superior Regularization
January 2, 2025
Artificial Intelligence
Mastering Batch Normalization: Elevating Neural Networks to New Heights
January 2, 2025
Artificial Intelligence
Mastering Residual Connections: Enhancing Neural Networks for Optimal Performance
January 2, 2025
Artificial Intelligence
Mastering Gradient Clipping: Enhancing Neural Networks for Optimal Training
January 2, 2025
Artificial Intelligence
Mastering Xavier Initialization: Enhancing Neural Networks for Optimal Training
January 2, 2025
Artificial Intelligence
Mastering the Vanishing Gradient Problem: Advanced Strategies for Optimizing Neural Networks
January 2, 2025
Artificial Intelligence
Mastering Exploding Gradients: Advanced Strategies for Optimizing Neural Networks
January 2, 2025
Artificial Intelligence
Mastering Adam Optimizer: Revolutionizing Deep Learning Performance
January 2, 2025
Artificial Intelligence
Mastering Dropout in Neural Networks: A Comprehensive Guide to Preventing Overfitting
January 2, 2025
Artificial Intelligence
Mastering Dropout: The Ultimate Strategy to Prevent Overfitting in Neural Networks
January 2, 2025
Artificial Intelligence
Dropout vs. Random Forest: Unveiling Their Unique Roles in Machine Learning
January 2, 2025
Artificial Intelligence
Understanding the Impact of Dropout on Training vs. Testing in Neural Networks
January 2, 2025
Artificial Intelligence
Mastering L1 and L2 Regularization: The Ultimate Guide to Preventing Overfitting in Neural Networks
January 2, 2025
Artificial Intelligence
Mastering L1 and L2 Regularization: The Definitive Guide to Preventing Overfitting in Neural Networks
January 2, 2025
Artificial Intelligence
Mastering L1 and L2 Regularization: The Definitive Guide to Preventing Overfitting in Neural Networks
January 2, 2025
Artificial Intelligence
Conquering the Curse of Dimensionality in Machine Learning: Strategies for Success
January 2, 2025
Artificial Intelligence
Conquering the Curse of Dimensionality: How Deep Learning Transforms Machine Learning
January 2, 2025
Artificial Intelligence
Unleashing the Power of Generative Models: Transforming Machine Learning and AI
January 2, 2025
Artificial Intelligence
Mastering Deep Learning Interviews: Your Comprehensive Guide to Success
January 17, 2025
Artificial Intelligence
Stanford CS229 - Machine Learning University Course - Andrew Ng