Linear Regression: Your First Machine Learning Algorithm
Learn linear regression, the foundational machine learning algorithm. Understand how it works, how to implement it in Python, and when to use it with real examples.
GPUs vs CPUs: Hardware for Deep Learning
Understand why GPUs outperform CPUs for deep learning, how each works, when to use each, and explore TPUs, cloud options, and future AI hardware.
Why Deep Learning Requires So Much Data
Discover why deep learning needs massive datasets, how much data is required, techniques to reduce data requirements, and the future of data-efficient AI.
Understanding Epochs, Batches, and Iterations
Learn the difference between epochs, batches, and iterations in neural network training. Understand batch size, how to choose it, and its impact on training.
Introduction to Gradient Descent Optimization
Learn gradient descent, the optimization algorithm that trains machine learning models. Understand batch, stochastic, and mini-batch variants with examples.
