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 Artificial Intelligence
- Computational Psychology.
- Computational Philosophy.
Machine Learning
- Computational learning theory.
- Computer algorithms for computational experience.
Deep Learning
- Artificial neural networks.
- Differences between deep learning and machine learning.
Preparing the Development Environment
- Installing and configuring TensorFlow.
TensorFlow Quick Start
- Working with nodes.
- Utilising the Keras API.
Fraud Detection
- Reading and writing to data.
- Preparing features.
- Labeling data.
- Normalizing data.
- Splitting data into test and training sets.
- Formatting input images.
Predictions and Regressions
- Loading a model.
- 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
