Brendan Patrick Purdy
Brendan is the senior curriculum developer for data science at Flatiron School. He holds degrees in Pure and Applied Mathematics, Philosophy, and Data Science. His favorite part of the job is building curriculum that opens doors for career changers. He finds it rewarding to help students gain the skills and confidence to transition into data science and artificial intelligence careers.
Artificial Intelligence
Demystifying Machine Learning: What AI Can Do for You
By demystifying machine learning, we unveil a world of possibilities where AI becomes not just a buzzword, but a tangible tool for enhancing productivity, efficiency, and innovation.
Tech Trends
Intro to Predictive Modeling: A Guide to Building Your First Machine Learning Model
Predictive modeling in data science involves using statistical algorithms and machine learning techniques to build models that predict future outcomes or behaviors based on historical data. It encompasses various steps, including data preprocessing, feature selection, model training, evaluation, and deployment.
Tech Trends
Introduction to Natural Language Processing (NLP) in Data Science
Natural Language Processing (NLP) encompasses a variety of techniques designed to enable computers to understand and process human languages. In this post you’ll learn about NLP applications like text classification and sentiment analysis, plus NLP techniques like tokenization and stemming.
Tech Trends
Rejecting the Null Hypothesis Using Confidence Intervals
After a discussion on the two primary methods of statistical inference, viz. hypothesis tests and confidence intervals, it is shown that these two methods are actually equivalent.
Artificial Intelligence
Hyperbolic Tangent Activation Function for Neural Networks
Activation functions play an important role in neural networks and deep learning algorithms. A common activation function is the hyperbolic tangent function, which is like the trigonometric tangent function, but defined using a hyperbola rather than a circle.