11) What is Data Mining?

what is numerical methods? what is the application of numerical methods?

Hi, In this episode, we are discussing about normalization in machine learning. Hope you enjoy! Thanks, DrMNA

Join us as we explore the fascinating journey of statistics, from its humble beginnings in ancient civilizations to its indispensable role in today’s data-driven world. We’ll trace the evolution of this vital field, highlighting key milestones and the brilliant minds that shaped it.Discover how early civilizations, including the Egyptians, Romans, and Chinese, used rudimentary forms of statistics to record population, wealth, and resources for taxation and administration. We’ll then travel through time to the 16th and 17th centuries, where probability theory emerged from the world of gambling and mathematicians like Blaise Pascal and Pierre de Fermat laid the foundation for statistical inference.We’ll meet John Graunt, the pioneering English statistician who revolutionised demographic analysis with his groundbreaking work on mortality bills in 17th-century London. His insights sparked further exploration into political arithmetic, life expectancy calculations, and the development of life insurance mathematics.The 18th century marked a turning point in the history of statistics. It was during this period that the word "statistics" was coined, first in German by Gottfried Achenwall in 1750 and later in English by Dr. E. A. W. Zimmerman in 1790. We’ll see how the 18th century saw the emergence of a mathematical theory of errors and estimation, paving the way for more sophisticated statistical methods.Our exploration continues into the 19th century, a period of significant growth for statistics. We’ll witness the establishment of prominent statistical societies like the Royal Statistical Society and the American Statistical Association and see how statistics became an integral part of government and social reforms.From the groundbreaking work of Florence Nightingale, who used statistics to improve healthcare practices, to the contributions of other trailblazers like Adolphe Quetelet and Francis Galton, we'll delve into the diverse applications of statistics in this transformative era.Finally, we’ll look at the 20th century and beyond, where the advent of computers revolutionised statistics, enabling the analysis of vast datasets and giving rise to new fields like data science and machine learning. Join us as we celebrate the rich history of statistics and its enduring impact on our understanding of the world.This episode aims to shed light on the development of statistics over time, providing listeners with a comprehensive understanding of the key events, figures, and concepts that have shaped this vital field.

Hi Everybody, In this episode, I am talking about random forest classifier.  Hope you enjoy listening to my podcast. Thanks, DrMNA

Hi Everybody, In this episode, I am talking about Support vector machine. It is one of the machine learning classifier that are popular in this days. Hope you enjoy listening to my podcast. Thanks, DrMNA

Hi Everybody! In this episode, I am elaborating about what is data sciences? for those who did not know what is data sciences, hope after listening to my podcast, you are able to understand this brief introduction. Thanks, DrMNA

Hi, In this episode, I am elaborating about law of large numbers. Hope you enjoy listening. Thanks, DrMNA

In this episode, I am elaborating about the history of statistics. Hope you all enjoy listening to my podcast. Thanks, DrMNA 

Salam,  In this episode, I am discussing about the introduction to Data Mining.  What is the data mining, the data mining process, and common approaches in data mining. Hope this helps! Thanks, MNA

Salam and Hi,  In this episode, I am talking about the measure classifier performance. What are the element or statistic that used in measuring the classifier performance? There are Accuracy, Precision, Sensitivity, Specificity and F-Score or F1-Score.  Hope this helps! Thanks, MNA