Machine Learning Techniques for VLSI Chip Design

13Design Challenges for Machine/Deep Learning Algorithms

Rajesh C. Dharmik* and Bhushan U. Bawankar

Department of Information Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Abstract

Machine Learning, or ML, is one of the most effective uses of artificial intelligence because it allows systems to learn without having to be programmed regularly. A process of studying data for the purpose of constructing or training models occurs in Machine Learning. It has recently gained a lot of notoriety for its ability to be utilised across a wide range of businesses to solve difficult problems fast and effectively. Machine Learning has evolved into a quick and effective approach for businesses to construct models and strategize plans. It generates real-time results without the need for human intervention, using data that has already been processed. It develops data-driven models to make it easier to evaluate and interpret enormous amounts of data. Companies require software that can grasp data and produce correct outcomes, thus it is a skill in great demand. The main goal is to achieve optimal functionality with the least amount of confusion. Assuming you understand what machine learning is, why people use it, what different types of machine learning there are, and how the whole development pipeline works. What might potentially go wrong during the development process that would prohibit you from receiving accurate predictions? During the development phase, ...