At the Amazon ML School, I delved deep into the world of Machine Learning and Deep Learning. The program provided comprehensive training in Supervised Learning, Deep Neural Networks, Dimensionality Reduction, and other advanced ML techniques. This experience allowed me to work on real-world industry problems and solidified my understanding of machine learning algorithms.

Collaborating with Amazon Scientists, I applied concepts learned to practical challenges, enhancing my skills in model evaluation and feature engineering. The program was pivotal in shaping my career as a data scientist, equipping me with the skills to tackle complex ML problems.

The curriculum covered eight key modules:

• Supervised Learning
• Deep Neural Networks
• Dimensionality Reduction
• Unsupervised Learning
• Probabilistic Graphical Models
• Sequential Learning
• Causal Inference
• Reinforcement Learning

Key takeaways included:

• Gaining in-depth knowledge from Amazon Scientists
• Interacting with experts on breakthrough innovations
• Preparing for a career in ML with a solid foundation