Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction
Describing the Structure of Unlabelled Data
- Unsupervised Machine Learning
Recognizing, Clustering, and Generating Images, Video Sequences, and Motion-capture Data
- Deep Belief Networks (DBNs)
Reconstructing Original Input Data from a Corrupted (Noisy) Version
- Feature Selection and Extraction
- Stacked Denoising Auto-encoders
Analyzing Visual Images
- Convolutional Neural Networks
Gaining a Deeper Understanding of Data Structure
- Semi-Supervised Learning
Understanding Text Data
- Text Feature Extraction
Building Highly Accurate Predictive Models
- Improving Machine Learning Results
- Ensemble Methods
Summary and Conclusion
Requirements
- Experience in Python programming
- Understanding of the fundamental principles of machine learning
Audience
- Developers
- Analysts
- Data scientists
Testimonials (1)
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
