Section 1: Advanced Algorithms
Understanding complex algorithms is crucial for any data scientist aspiring to push boundaries. Let's explore some of the less conventional yet incredibly powerful algorithms like PCA, t-SNE, and LDA.
Section 2: Neural Networks
Marvel at the magic of neural networks! From CNNs to RNNs, and everything in between, neural networks form the foundation of modern AI applications.
Section 3: Data Ethics and Bias
As data scientists, it's not only about the techniques but also about understanding and mitigating biases. Developing fair algorithms is a critical skill.