Course Outline
Introduction
TensorFlow Overview
- What is TensorFlow?
- TensorFlow Features
Understanding Artificial Intelligence (AI)
- Computational Psychology
- Computational Philosophy
Machine Learning
- Computational Learning Theory
- Algorithms for Computational Experience
Deep Learning
- Artificial Neural Networks
- Differentiating Deep Learning from Machine Learning
Preparing the Development Environment for Government
- Installing and Configuring TensorFlow
TensorFlow Quick Start for Government
- Working with Nodes
- Utilizing the Keras API
Fraud Detection for Government
- Reading and Writing Data
- Preparing Features
- Labeling Data
- Normalizing Data
- Splitting Data into Test and Training Sets
- Formatting Input Images
Predictions and Regressions for Government
- Loading a Model
- Visualizing Predictions
- Creating Regressions
Classifications for Government
- Building and Compiling a Classifier Model
- Training and Testing the Model
Summary and Conclusion
Requirements
- Experience with Python programming for government
Audience
- Data Scientists in the public sector
Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
