Welcome to the final part of our journey. After we built our Machine Learning models, I guess we still have some questions: How do we handle the bias-variance tradeoff when building a model and checking its performance? How do we pick the best valu...
Welcome to Part 9 - Dimensionality Reduction! In chapter 3 - Classification, we used datasets with two independent variables to better visualize Machine Learning models and because we can often reduce variables to two using Dimensionality Reduction. ...
Welcome to Part 8.2 - Deep Learning! Deep Learning is the most exciting and powerful branch of Machine Learning. If you're new to this blog, I strongly advise you to read the previous blogs because this one is quite advanced. Thank you! Plan of attac...
Welcome to Part 8.1 - Deep Learning! If you're new to this blog, I strongly advise you to read the previous posts because this one is quite advanced. Thank you! Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning...
Natural Language Processing (NLP) involves using machine learning models to work with text and language. The goal of NLP is to teach machines to understand spoken and written words. For example, when you dictate something into your iPhone or Android ...
Welcome to Part 6 - Reinforcement Learning! Reinforcement Learning is a powerful branch of Machine Learning used to solve problems by deciding actions based on past data. It's also used in AI to train machines for tasks like walking, using rewards an...
