Community Insights
Deep dive into AI, Machine Learning, and Cloud with curated articles from our expert community members.
Start Your AI Journey
Beginner-friendly blogs to help you understand AI from the ground up.
What Exactly is Machine Learning?
ML Simplified Day 1: A beginner-friendly introduction to what Machine Learning actually is.
The Fuel of AI: Why Data is Everything
ML Simplified Day 2: Understanding the critical role of data in powering Artificial Intelligence.
Building Our First Model with Keras
ML Simplified Day 3: A step-by-step guide to building your first neural network model using Keras.
What Is JAX? A Friendly Introduction for ML Beginners
A friendly and approachable introduction to JAX for those new to Machine Learning frameworks.
What Exactly is Machine Learning?
ML Simplified Day 1: A beginner-friendly introduction to what Machine Learning actually is.
The Fuel of AI: Why Data is Everything
ML Simplified Day 2: Understanding the critical role of data in powering Artificial Intelligence.
Building Our First Model with Keras
ML Simplified Day 3: A step-by-step guide to building your first neural network model using Keras.
What is Google Gemini? A Simple Guide
A simple and comprehensive guide to understanding Google's powerful multimodal AI model, Gemini.
Google Colab: Your Powerful, Free Computer in the Cloud
Learn how to use Google Colab to access free GPUs and TPUs for your data science projects.
Kaggle for Beginners: Learn Data Science for Free
Discover how Kaggle can help you learn data science through competitions, datasets, and courses.
TensorFlow Made Simple: AI for Everyone
Making TensorFlow accessible and easy to understand for everyone, regardless of their background.
What Is JAX? A Friendly Introduction for ML Beginners
A friendly and approachable introduction to JAX for those new to Machine Learning frameworks.
Your First Guide to JAX: NumPy with Superpowers
Understand how JAX extends NumPy with hardware acceleration and automatic differentiation.
Why JAX Exists: The Need for Speed and Simplicity in ML
Exploring the motivations behind JAX and why speed and simplicity are crucial in modern ML.
JAX vs. TensorFlow vs. PyTorch: A Deeper Look for Beginners
A comparative analysis of JAX, TensorFlow, and PyTorch to help beginners choose the right tool.
Why JAX Thinks Differently: The Functional Mindset Behind its Power
Delving into the functional programming mindset that gives JAX its unique power and flexibility.
How JAX Compiles Your Code: The Secret Relationship Between JAX and XLA
Uncovering the compilation process of JAX and how it leverages XLA for high performance.
How Flax Modules Work Internally: The Design Choice That Keeps JAX Functional
A deep dive into Flax modules and the design choices that maintain JAX's functional purity.
What the Compact API in Flax Really Does
Explaining the Compact API in Flax and how it simplifies parameter creation while staying functional.
jit, grad, and vmap in JAX
Understanding the core transformations in JAX: jit, grad, and vmap, and the simple idea behind them.