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This is the assignments of DIT821 Software Engineering for AI system, which is same with weekly exercises of Coursera Machine Learning by Andrew NG.

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Introduction

The purpose of the course ins to give to students insights in basics of AI, its use, basics of software engineering of AI-based systems. The course addresses issues relevant for software engineering for systems that use artificial intelligence (AI) techniques such as machine learning or large-scale parallel data processing. The course gives a) an introduction of basic principles of AI, with emphasis on the principles and techniques used in machine learning (ML) and Deep Learning (DL) including supervised learning, unsupervised learning, enforcement learning , and b) insights to support needed for successful implementation of AI systems.

Installation

Anaconda 3

•	Go to Anaconda download page and find the installer file that matches your system
•	Open the file, start the installation wizard and follow the instruction
•	After installation, open Jupyter Notebook by running the on the terminal jupyter notebook

run jupyter notebook

•	Go to start menu and click on Anaconda
•	Launch Jupyter notebook(mostly second panel) from the Anaconda Navigator
•	A browser window should open up with your directory listing.
•	You can create your own folder and navigate to that folder to save the scripts.
•	Click on New at the top right end and choose “Python 3” from drop downmenu.
•	You can start writing your code in the grey box!
•	Try executing the code with the “Run” button or Alt-Enter

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This is the assignments of DIT821 Software Engineering for AI system, which is same with weekly exercises of Coursera Machine Learning by Andrew NG.

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