Artificial Intelligence a Modern Approach: Discover the Best Techniques for Beginners and the Revolutionary Advantages of Artificial Intelligence and Its ... Application to Achieve Better Results by Coen Anderson

Author:Coen, Anderson [Coen, Anderson]
Language: eng
Format: epub
Published: 2020-05-31T16:00:00+00:00

Software Development Life Cycle

The traditional software development life cycle is divided into multiple steps. The process includes requirement analysis, design, development, testing, deployment, and maintenance. This is completely different from the machine learning model development process and is based on the predefined rules of software development. In the machine learning model development process, the steps covered as mentioned are as follows:

● Problems and goals definition

● Data collection

● Data preparation

● Model engagement

● Model deployment and integration

● Model learning

With the passage of time, machine learning systems have become complex and require multiple dependencies to deliver one-hundred percent results. Moreover, there are several major layers including interfaces and functionality that are directly linked with the software development process. Actually, machine learning models have their own maintenance and debugging challenges due to the real-world problems they have to handle in routine.

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