Learn about Deep Learning understand its basic principles.
Expand on Fourier Transform, Wavelet Transform and Chirplet Transform.
Use a Climate Time Series to forecast the weather with ARMA, SARMA and SARIMA models.
Learn about unsupervised learning and see how this can be applied to cluster different time series.
Use Deep Learning methods to denoise a Time Series and compress its information.
Yes, you can! However, we recommend you start with the ‘Introduction to AI and Signal Processing Course’ as it will give you all the skills you need to conquer the intermediate course.
You should have a basic understanding of AI and Machine Learning. It will help to have some familiarity with Python, Google Colab and how to use Python Libraries.
Computer with an Internet connection, and access to a Google account.
Learn the basics about signals and statistics, and how to analyse, optimise and process signal data using Python for Machine Learning. Understand AI principles and ethics.
£75
Learn the basics about images, data compression, classification and colour detection using Python for Machine Learning. Understand AI principles and ethics.
£75
Apply advanced techniques to an image and perform real-world applications like image classification and image filtering using deep learning techniques.
£120
