Machine Learning Archives | Page 2 of 2

Decision boundary for multivariate logistic regression

August 9, 2022 Machine Learning

Logistic Regression in Machine Learning

A hundred thousand years ago, our ancestors used to roam in the savannas and jungles. It was absolutely necessary for them to judge (or classify) everything they encounter: a movement in the bushes could be due to a harmless rabbit or a dangerous tiger, a fruit on a plant could be nutritious or poisonous, and so on. Then came the wizards who invented language and then people developed agriculture, writing and industry. The advancement in civilization and the quest for scientific knowledge revealed the benefits of a wide spectrum and viewing shades of gray instead of of simple black and

February 13, 2021 Machine Learning

Machine Learning – The Big Picture

Machine learning is probably the defining technology of the past decade. As with all walks of life, it is playing an increasingly significant role in existing and future wireless networks. In this article, we explore the big picture of this exciting field. Nature vs Man Humans have always been interested in the workings of a mind, replicated by machines in many science fiction stories. During their investigations on Artificial Intelligence (AI, of which machine learning is a subset), many scientists observed that the machines need not copy the exact brain but a functional level performance is good enough that can

December 2, 2016 DSP / Machine Learning

The Master Algorithm

Recently, I was reading the book The Master Algorithm by Pedro Domingos — a Professor at the University of Washington in machine learning. According to the description of his book, The Master Algorithm in Machine Learning A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancer. Society is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data – these algorithms take raw data and make it useful by creating more algorithms.

A symbolic representation of aligning the Tx weights and Rx weights according to the channel conditions for maximum throughput

November 8, 2021 Machine Learning / Wireless/SDR

Singular Value Decomposition (SVD) – A Tutorial with an Application to Wireless Systems

Singular Value Decomposition (SVD) is a powerful concept in linear algebra whose relevance has significantly increased in recent times. Some of the notable examples are its applications in machine learning, data science and wireless communication systems. In this tutorial, I will explain the logic behind SVD from a non-mathematical viewpoint using a wireless application that forms the backbone of high speed wireless systems such as WiFi, 4G and 5G. What is Orthogonality and Why We Like It Orthogonality is a concept that comes with heavy mathematical details. However, it can be explained in a simple and non-rigorous manner. Look at