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.
Course Outline
Introduction
TensorFlow Overview
- What is TensorFlow?
- Key features of TensorFlow
Understanding AI
- Computational Psychology
- Computational Philosophy
Machine Learning
- Computational learning theory
- Algorithms for computational experience
Deep Learning
- Artificial neural networks
- Differences between deep learning and machine learning
Setting Up the Development Environment
- Installation and configuration of TensorFlow
TensorFlow Quick Start
- Working with nodes
- Utilizing the Keras API
Fraud Detection
- Reading and writing data
- Feature preparation
- Data labeling
- Data normalization
- Splitting data into training and test sets
- Formatting input images
Predictions and Regressions
- Loading models
- Visualizing predictions
- Creating regressions
Classifications
- Building and compiling a classifier model
- Training and testing the model
Summary and Conclusion
Requirements
- Experience with Python programming
Audience
- Data Scientists
14 Hours
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
