Data Science
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.
Tech Trends
Kicking It Up a Notch: Exploring Data Analytics in Soccer
The Major League Soccer (MLS) season's kickoff coincides with the rising tide of data analytics in soccer. Let's dive into the fascinating use cases and trends that reveal how data is informing decision-making in the world of soccer.
Alumni Stories
Troy Hendrickson: From Sales to Stats Auditor for the NBA
"I surprised myself with how much I enjoyed the learning process, Flatiron's values aligned perfectly with mine."
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.
Alumni Stories
Juliet Day: Law to Data Science
“I’ve been here for over a year and I still love it and find it exciting every day. In some ways, it’s the law career I never had.”