Download or read book MACHINE LEARNING: A COMPREHENSIVE OVERVIEW OF ALGORITHMS AND TECHNIQUES written by Dr. T AASIF AHMED and published by Xoffencerpublication. This book was released on 2023-05-23 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quantity of data that we have access to is mind-boggling. It would seem that the volume of information in the world, as well as in our own lives, is only going to continue to increase, and there does not appear to be any end in sight for this trend. The ever-present nature of personal computers has made it an absurdly easy process to store things that, in the past, we would have thrown away. This has resulted in a significant reduction in the amount of waste that we produce. It is all too easy for us to put off making decisions on what to do with all of this information since affordable multigigabyte drives are widely accessible. Instead of making these decisions, we just buy another disk and keep everything. Electronics are present in almost every location, and these devices are always monitoring and documenting our actions. For example, they keep track of the items we buy at the grocery store, our typical purchasing habits, and even when we enter and exit a building. When we swipe our way across the planet, a record is added to a database for every consecutive swipe that we make. The World Wide Web not only overwhelms us with information but also keeps a record of every choice that each of us makes. Aside from the fact that all of them are only personal choices, their commercial and industrial analogues may be found in a variety of guises all over the world. Everyone in this room can agree to the reality that there is a growing understanding gap between the data that is being produced and what we are able to do with that data. The amount of data that people are able to grasp is falling at an alarming rate, and this decline is proportional to the relentless growth in the amount of data. There is information, knowledge that may be really vital, that is latent among all of this data, but it is seldom made explicit or used in any way. The process of recognizing patterns in data is explored in depth throughout the pages of this book. This is not something that simply happened a short while ago. People have been searching for patterns in various types of data ever since the dawn of human history. People who hunt animals search for patterns in the migration patterns of the creatures they are hunting, farmers look for patterns in how their crops grow, politicians look for patterns in how people feel, and lovers look for patterns in how their partners respond