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
Analyzing the Structure of Unlabeled Data
- Unsupervised Machine Learning
Identifying, Clustering, and Generating Images, Video Sequences, and Motion-capture Data
- Deep Belief Networks (DBNs)
Recovering Original Input Data from Corrupted (Noisy) Versions
- Feature Selection and Extraction
- Stacked Denoising Auto-encoders
Interpreting Visual Images
- Convolutional Neural Networks
Enhancing the Understanding of Data Structures
- Semi-Supervised Learning
Processing Text Data
- Text Feature Extraction
Developing Highly Accurate Predictive Models
- Enhancing Machine Learning Outcomes
- Ensemble Methods
Summary and Conclusion
Requirements
- Proficiency in Python programming
- A solid grasp of fundamental machine learning principles
Target Audience
- Developers
- Analysts
- Data scientists
Testimonials (1)
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
