Description
Logistic regression is one of the most fundamental techniques used in machine learning, data science, and statistics, as it may be used to create a classification or labeling algorithm that quite resembles a biological neuron. Logistic regression units, by extension, are the basic bricks in the neural network, the central architecture in deep learning. In this course, you’ll come to terms with logistic regression using practical, real-world examples to fully appreciate the vast applications of Deep Learning.
- Access 31 lectures & 3 hours of content 24/7
- Code your own logistic regression module in Python
- Complete a course project that predicts user actions on a website given user data
- Use Deep Learning for facial expression recognition
- Understand how to make data-driven decisions
Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.
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