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Course Outline
Introduction
Setting up the R Development Environment
Deep Learning vs Neural Network vs Machine Learning
Building an Unsupervised Learning Model
Case Study: Predicting an Outcome Using Existing Data
Preparing Test and Training Data Sets For Analysis
Clustering Data
Classifying Data
Visualizing Data
Evaluating the Performance of a Model
Iterating Through Model Parameters
Hyper-parameter Tuning
Integrating a Model with a Real-World Application
Deploying a Machine Learning Application
Troubleshooting
Summary and Conclusion
Requirements
- R programming experience
- An understanding of machine learning concepts
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (2)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
