Machine Learning Certification

I’ve just completed the Machine Learning Specialization on Coursera. This program is taught by Andrew Ng and jointly offered by DeepLearning.AI and Stanford Online.

The specialization is structured as a three-course sequence, each designed to build a strong foundation and progressively expand your understanding of machine learning.

The first course, Supervised Machine Learning: Regression and Classification, dives into the core ideas behind predictive modeling. I learned how to implement linear and logistic regression, understand loss functions, optimize models using gradient descent, and build simple neural networks.

The second course, Advanced Learning Algorithms, took things a step further. It introduced me to more powerful models such as decision trees, random forests, and gradient boosting. I also had my first real hands-on experience with TensorFlow, building and training neural networks on real datasets.

The third and final course, Unsupervised Learning, Recommenders, Reinforcement Learning, explored some of the most widely used applications of machine learning.

On to the next one.